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'false'); $(this).parent().parent().css('height', '161px'); if ($(this).parent().attr('id') == "summary-target") { $("#summary-target-bg").removeClass("bg-tab-summary-target-full"); $("#summary-target-bg").addClass("bg-tab-summary-target"); } } // var offTop = $("#" + $(this).parent().attr('id')).offset().top; // $('html,body').scrollTop(offTop); // let thisIndex = $(this).parent().parent().data('order-index'); //alert(thisIndex); // for (let i = parseInt(thisIndex) + 1; i < 10; i++) { // let currentTop = $("#summary-pos-f" + i).attr('style') // $("#summary-pos-f" + i).attr('style', // } // if(g_snapped == $(this).parent().attr('id')) // { // $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover-locked"); // $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover"); // g_snapped = ""; // } // else if (g_snapped == "") // { // $("#" + $(this).data("rollover-span")).removeClass("bg-tab-summary-rollover"); // $("#" + $(this).data("rollover-span")).addClass("bg-tab-summary-rollover-locked"); // g_snapped = $(this).parent().attr('id'); // // $("#" + $(this).data("detail-div")).show(); // //$(g_lastHovered).show(); // // alert(this.parent().id); // } } ); // SPECIFIC BUTTONS // --------------------------------------------------------------------------------------------------------------------------- // SUMMARY: ASSOCIATIONS // $("#button-summary-associations-source, #button-summary-associations-compare").hover( // // ENTER function // function() // { // if(g_snapped=="") // { // hideAllDetails(); // $("#df-assoc").show(); // //$("#df-assoc").show(); // } // g_lastHovered = "#df-assoc"; // }, // // EXIT function // function() // { // if(g_snapped=="") // { // hideAllDetails(); // } // }); // ); // ASSOCIATIONS CLICK $("#button-summary-associations-source, #button-summary-associations-compare").click(function(event) { let actual_div = "#" + $(this).data("detail-div"); // Quick hack: just remove the selected state to both buttons and restore if needed $("#button-summary-associations-source, #button-summary-associations-compare").removeClass("button-assoc-selected"); $("#button-summary-associations-source, #button-summary-associations-compare").addClass("button-assoc"); if(g_snapped == actual_div) { // DESELECT/HIDE ASSOC // -------------------------------------------------------- g_snapped = ""; $(actual_div).hide(); $(".page-all-summaries").css({top: "160px"}); // $(this).removeClass("button-assoc-selected"); // $(this).addClass("button-assoc"); } else if(g_snapped == "") { // SELECT/SHOW ASSOC // -------------------------------------------------------- g_snapped = actual_div; $(actual_div).show(); $(".page-all-summaries").css({top: "993px"}); $(this).addClass("button-assoc-selected"); } else { // SWAP to OTHER ASSOC: DESELECT old, select new // -------------------------------------------------------- $(g_snapped).hide(); g_snapped = actual_div; $(this).addClass("button-assoc-selected"); $(actual_div).show(); } }); // DETAIL GRAPH BUTTONS $(".button-bin").click(function() { which_id = $(this).attr('data-target'); $("#"+which_id).attr('class', $(this).attr('data-new_class') + " pos-detail-num-graph"); }); }); // $(document).ready(... </script> <style> span.icon-expand { content: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABwAAAAcCAYAAAByDd+UAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAALRJREFUeNpi/P//PwM9ARMDncGohVQHLATkDYA4gEQzD0AxdgBKpTjw/P/kg/m4zMVlWQKSRgE8jkLHAkgOTcCmBlccKkDpRCD+QEJwfkDSo0DNRAMqLfbjkRcYzYeDJh8ixxk6cMAizkgtCw9gsYwBbwan0EJHLD4+gEV8NNEMrlSKr0hjpLYPH0CLp/n4iikcRdp8JDMGvnpiJNBqc0DKc8SCDUB8AWdcjDYTRy0kFQAEGAAqdjq/C2RykQAAAABJRU5ErkJggg==);} span.icon-categorical { content: 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format('truetype'); } body { /* Re-adding horizontal scrollbar overflow-x: hidden; background-color: #f7f7f7; */ background-color: #f3f3f0; color: #58544f; margin-top: 0px; } .isHidden { display: none; } .page-root { /*width: 1880px;*/ /* Made this bigger to better match actual width and avoid flickering due to the horizontal Scrollbar showing up */ width: 1903px; overflow: visible; margin: 0 auto; position: relative; } .page-root-vertical { width: 1056px; overflow: visible; margin: 0 auto; position: relative; } .page-column-main { width: 930px; position: absolute;} .page-column-detail { position: absolute; left: 804.0px; } .page-all-summaries { position: absolute; top:160px; left: -12px; width: 960px; } .pos-feature-summary { width: 1056px; height:162px; position: relative; } .container-feature-summary { width: 1056px; height:175px; position: absolute; } .container-feature-summary-target { width: 1056px; height:175px; position: relative; } .container-feature-detail { height:900px;position:sticky;top:0; transform: scale(0.8);transform-origin: 0 0; } .container-feature-detail-vertical { width: 900px;height:900px;position:absolute; top: 151px; left:93px } .container-feature-detail__offset { height:900px;position:absolute;top:0px;left:-17px } .color-source { color: #0088ed; } .button-border-source { border:1px solid #0088ed; } .color-source-target { color: #004bd1; } .color-compare { color: #f77721; } .button-border-compare { border:1px solid #f77721; } .color-compare-target { color: #e54600; } .color-normal { color: #58544f; } .color-target-summary { color: #CFC8BC; } .color-light { color: #837d76; } .color-red { color: #ff0000; } .dim { opacity: 0.5; } .color-title-disabled { color: #e2e2e2; } a { color: #58544f; } .text-dataframe-title { font-family: RobotoBoldCond; font-size: 24px; } .text-dataframe-title-small { font-family: RobotoBoldCond; font-size: 20px; } .text-large-bold { font-family: RobotoBoldCond; font-size: 15.4px; } .text-med-bold { font-family: RobotoBoldCond; font-size: 12px; } .text-med { font-family: RobotoMed; font-size: 12px; } .text-small-med { font-family: RobotoMed; font-size: 10px; } .text-small-bold { font-family: RobotoBoldCond; font-size: 10px; } .text-label { font-family: RobotoReg; font-size: 11px;} .text-value { font-family: RobotoMed; font-size: 11px; } .text-distinct { font-family: RobotoMed; font-size: 12px; font-weight: bold;} .text-version { font-family: RobotoReg; font-size: 14px; font-weight: bold; } .text-credits { font-family: RobotoReg; font-size: 9px;} .pos-logo-group { position: absolute; top:0px; left:0px; width: 380px; height: 200px; text-align: center;} .pos-logo { position: relative; margin-left: auto; margin-right: auto; top: 32px; } .pos-credits { position: relative; top:26px; text-align: center; } .row-colored { background-color: #00000008; } .row-missing { background-color: #00000008; text-indent: 4px; height: 16px; width: 250px; } .assoc-row { height: 13px; line-height: 11px; text-indent: 4px; } .assoc-row-target { height: 13px; line-height: 11px; text-indent: 4px; background-color: #221F1F; color: #c1b9af; } .row-numeric-summary { height: 13px; line-height: 11px; width: 140px; } .row-separator-bottom { border-bottom: 1px solid #00000018; } .row-separator-top { border-top: 1px solid #00000018; } .breakdown-row { height: 13px; line-height: 11px; text-indent: 4px; } .breakdown-row-header { height: 26px; text-indent: 4px; } .breakdown-row-header-2-lines { height: 30px; text-indent: 4px; } .breakdown-hr { position:absolute; top: 13px; left: 10px; width: 592px; } .breakdown-hr-2-lines { position:absolute; top: 20px; left: 10px; width: 592px; } /* TAB ICON/NAME */ .text-title-tab { font-family: RobotoBoldCond; font-size: 15.4px; position: absolute; left: 74px; top: 24px; width:250px; } .pos-tab-image { position: absolute; left: 45px; top: 21px; } .pos-detail-tab-icon-text__offset { position: absolute; left: -4px; top: -4px; } .pos-text-title-tab__no-icon { position: absolute; left: 37px; top: 17px; } /* DATAFRAME SUMMARY ------------------------------------*/ .pos-dataframe-summary-title-source { position: absolute; left: 0px; top: 12px; width: 250px; text-align: right; } .pos-dataframe-summary-title-compare { position: absolute; left: 350px; top: 12px; width: 250px; text-align: left; } .pos-dataframe-summary-title-compare-none { position: absolute; left: 350px; top: 16px; width: 250px; text-align: left; } .pos-dataframe-summary { position: absolute; top: 9px; left: 380px; } .pos-dataframe-summary-rows { position: absolute; top: 47px; left: 19px; } .dataframe-summary-row { height: 13px; width: 563px; line-height: 12px; } .pos-df-summary-source { position: absolute; left: 0px; width: 231px; text-align: right;} .pos-df-summary-center { position: absolute; left: 231px; width: 100px; text-align: center;} .pos-df-summary-compare { position: absolute; left: 331px; width: 200px; text-align: left;} .size-df-summary-button { width: 156px; height: 35px; } .pos-df-summary-button-assoc-source { position: absolute; top: 54px; left: 10px; } .pos-df-summary-button-assoc-compare { position: absolute; top: 54px; left: 397px; } /* FEATURE SUMMARY ------------------------------------*/ .summary-number { position: absolute; top: 17px; left: 0px; width: 34px; font-family: RobotoBoldCond; font-size: 26px; color: #d9d9d9; text-align: right; } .summary-number-vertical { position: absolute; top: 25px; left: 6px; width: 34px; font-family: RobotoBoldCond; font-size: 26px; color: #d9d9d9; text-align: right; text-orientation: mixed; writing-mode: vertical-rl; } /* BASE STATS */ .pos-base-stats { position: absolute; top: 65px; left: 74px; } .pos-base-stats-in-detail { position: absolute; top: 49px; left: 68px; } .base-stats-row { height: 13px; width: 200px; } .pos-base-stats__label { position: absolute; left: 0px; text-align: left;} .pos-base-stats__source { position: absolute; left: 55px; width: 55px; text-align: right;} .pos-base-stats__source-perc { position: absolute; left: 113px; width: 35px; text-align: right;} .pos-base-stats__compare { position: absolute; left: 153px; width: 55px; text-align: right;} .pos-base-stats__compare-perc { position: absolute; left: 211px; width: 35px; text-align: right;} /* These are all NUMERICAL SUMMARY actually! */ .pos-summary-numeric-group1 { position: absolute; top: 67px; left: 372px; } .pos-summary-numeric-group2 { position: absolute; top: 67px; left: 560px; } .pos-summary-numeric-source { position: absolute; left: 40px; width: 50px; text-align: right;} .pos-summary-numeric-compare { position: absolute; left: 90px; width: 50px; text-align: right;} .pos-summary-numeric-source-wide { position: absolute; left: 40px; width: 64px; text-align: right;} .pos-summary-numeric-compare-wide { position: absolute; left: 104px; width: 64px; text-align: right;} .pos-detail-num__top { position: absolute; top: 63px; line-height: 13px; } .pos-detail-num-col1__labels { left: 320px; text-align: left; } .pos-detail-num-col1__source { right: 636px; text-align: right;} .pos-detail-num-col1__compare { right: 581px; text-align: right; } .pos-detail-num-col2__labels { left: 520px; text-align: left; } .pos-detail-num-col2__source { right: 441px; text-align: right;} .pos-detail-num-col2__compare { right: 386px; text-align: right; } .pos-summary-text { position: absolute; left: 372px; top: 67px; } .summary-text { overflow: hidden; text-overflow: ellipsis; position: absolute; height: 14px; white-space: nowrap; } .pos-minigraph-cat { position: absolute; right: 40px; top: 62px; } .pos-minigraph-numeric { position: absolute; right: 40px; top: 62px; } .selector {} .selector__body { z-index:10; position: absolute; left: 0px; top:40px; width: 1040px; height: 134px; } .selector__bottom { z-index:10; position: absolute; left: 305px; top:174px; width: 735px; height: 22px; } .selector__top { z-index:10; position: absolute; left: 0px; top:16px; width: 305px; height: 24px; } /* DETAILS ------------------------------------*/ .pos-detail-cat-graph { position: absolute; left: 45px; top: 120px; } .pos-detail-cat-breakdown { position: absolute; left: 44px; overflow: hidden; } .pos-detail-num-graph { position: absolute; left: 50px; top: 78px; } .pos-detail-num-buttons { position: absolute; left: 400px; top: 46px; width: 212px; } .pos-detail-assoc-graph { position: absolute; left: 28px; top: 84px; } .pos-detail-assoc-desc-text { position: absolute; left: 37px; top: 41px; width: 800px; line-height: 11px;} .pos-detail-text { position: absolute; left: 45px; top: 75px; } /* DETAIL LISTS */ .container-detail-assoc { position: absolute; left: 40px; top: 27px; width: 215px;} .pos-detail-num-most { position: absolute; left: 20px; top: 606px; } .pos-detail-num-min { position: absolute; left: 313px; top: 606px; } .pos-detail-num-max { position: absolute; left: 607px; top: 606px; } .pos-detail-num-label { position: absolute; left: 0px; width: 56px; } .pos-detail-num-source-pair { position: absolute; width: 84px; left: 53px;} .pos-detail-num-compare-pair { position: absolute; width: 84px; left: 135px;} .pos-detail-num-pair-pos__num { position: absolute; left: 0px; width: 42px; text-align: right;} .pos-detail-num-pair-pos__perc { position: absolute; left: 49px; width: 30px; text-align: right; } /* Number, percentage pairs in CATEGORICAL breakdown */ .pair__col { position: absolute; width: 84px; } .pair__header { position: absolute; width: 79px; text-align: center;} .pair-pos__num { position: absolute; left: 0px; width: 42px; text-align: right;} .pair-pos__perc { position: absolute; left: 49px; width: 30px; text-align: right; } /* DETAIL-ASSOC */ .pos-detail-cat-assoc-1 { position: absolute; left: 618px; top: 28px; width: 275px;} .pos-detail-cat-assoc-CN { position: absolute; left: 618px; top: 565px; width: 275px;} .pos-assoc-row__label { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 156px;} .pos-assoc-row__source { position: absolute; left: 150px; text-align: right; width: 30px; } .pos-assoc-row__compare { position: absolute; left: 120px; text-align: right; width: 30px; } /* NUM-DETAIL COLS */ .pos-num-detail-row__label { position: absolute; left: 0px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; width: 62px;} hr { background-color: #58544f; height: 1px; border-width: 0px; } button { box-shadow:inset 0px 1px 0px 0px #ffffff; background:linear-gradient(to bottom, #f9f9f9 5%, #e9e9e9 100%); background-color:#f9f9f9; border-radius:6px; border:1px solid #dcdcdc; display:inline-block; cursor:pointer; color:#666666; font-family:Arial; font-size:10px; padding:3px 13px; text-decoration:none; text-shadow:0px 1px 0px #ffffff; } .button-assoc { outline: none; } .button-assoc:hover { border:2px solid #221f1f; outline: none; } .button-assoc:focus { outline: none; } .button-assoc-selected { border:2px solid #ff0000; } .button-assoc-selected:hover { border:2px solid #ff0000; } .button-assoc-selected:focus { border:2px solid #ff0000; outline: none; } </style> <style> span.minigraph-target::before { content: 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);} 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);} 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lO0q8DX81vG5jrateAbrv5zUar8xbgfcCf8Mge2LShiqG8imzjwx+TJfZx0qsQbWq0OpvyxnStlnsQSRrexigMNvcd7+61zPRbatueOEl3kl/oPAqDdcAFLD2LdDz79xhvz28bmBWiteNqsjLiem59EGZHe1WPvDp0WX54xZhVh3o7fe/ID60SDcoVZpKGdyvZNFbv4/IBn+casm16Vvr4oTZ4NhCtEfn+RK8EbufxOfjBQ1kD7Oi8gixobCW7Rt048iKvw3KFmaThnUG2bU7v44rVPkEUBu8Bngs8P19xvtgDwJa+483AfaseaR+nzNaQbru5vdHqnEuDr/PgLrjnUTil/I28G63ODAsJ/V3ddvOA0ueYuJtsvysrRIPaVyHyV4Okge08SIhZkSgMLiNbwPN8YEcUBlvy55yNwmA638vwK8DVURi0yC4P9kzgqmEGbYVojem2m9/g3xyVHfzrdtg5kpmr88l2zb4b+NgoXnBAVoiG5S7VkqrX25j5ZrJroj4EnBOFQQh8EyDf9PlNwIfJtu65Ok7SLw7zov4ZuBadshG274afPA7fexCediKsKyfbNlqdDexfHXq8lBcqRq+x2grRoGyqljRiS2zbs9wS16Tvfu8F3lvUOKwQrUWNBvzMMdk/Wo/PwW2l9hP9HvBE4B7gI2W9SEGsEA1jvgt782Z9A5GkmjEQrVXrp+CMY7JM/cAuuPfRwl8irw795/zw3WNeHQIrRMPpVYemyN5fklQj/tZbyzbPwOl5P9G/bC+jn+hlZJtm3Us2TzvurBANo7+h2k0ZJdWMgWite8JGOPqwbPeFW39S2P5EjVZnPfBf8sP3dNvNXYU8cbl6FaKTG62O7+3V2mNDtaT68h+Nta7RgJ89OttIb9cs/HB7Uf1E5wGnA9vINsdaC+4li4brgeMqHsva87gN1ZLqy0A0CdZPZ/1EAPc/BtseG+rpFlWH/qTbbg73hCPSbTf3srAxl31Eq+UKM0k1ZiCaFEfNwOn5pWP+ZTs8uneYZ3sp8CTgfuBDww5txOwjGtQeA5Gk+jIQTZJTN8HRM9ny6e89CHOr7ydqtDrrgLflh3/SbTeLX75WLleaDWpfhcjtySTVj4FokvT2J9owtdBPtHovAX6a7Doxf1bk8EbECtGg3KVaUo0ZiCbNhmk449js6/seg20rL/Asqg5duQarQ2CFaDBz8zCbN+MbiCTVkIFoEh01A6fl/UQ/3L6afqL/CDwFeBD4QBlDGwErRIPoTZdNN0q7DIwkjTN/802qn9oEW/J+olsP3U/UaHWmWagOXdVtN3eWPsZyWCEahCvMJNWcgWhSNRrws8dkl2B4bDZbeba8c4GfBX4CXF328EpkhWgQNlRLqjkD0STb0Lc/0bbH4L6lW4Ly6tD/kx/+abfdfGQk4ytHr0J0fH4tNq2EDdWSas5ANOm2HAZP3JR9fdt2eGzJfqIQOAN4CHj/qIZWkgeB3kXdTq5yIGuKU2aSas5AVAdP3Jw1Ws934Xs/gbmFS3vk1/zqVYf+W7fd3FHJGAvSbTe72Ee0egYiSTVnIKqDRiObOls/lVWI/nV7/3f/A/BUYDvwvgpGVwb7iFbLQCSp5gxEdbFhOmuyBrj30WyPouwisG/P7/Hebrv5cEWjK5oVotXodm2qllR7BqI6OfqwbDk+wA8fgtsfBjgTeITJqQ6BFaLVmZ3PplPBCpGk2jIQ1c1pm2HzhqyPaOu+rYY2Ar9b4aiKZoVoNXrVofVTMNWodiySVBEDUd00GvCkLQfcClzTaHVOHf2ASmGFaDXsH5IkA1EtLb1r9TTw5BGPpCxWiFbDQCRJBqJaOnzJxtk54IcjHklZrBCtxr5NGW2ollRfBqI6mlkHTzm6/5Y54NXddnNrRSMqWq9CtLHR6myqdCRrgRUiSTIQ1dZJR8LTTwL4deD0brv5sYpHVJhuu/ko0NtCwCrRoRiIJAlr5HU2s45uu/nlqodRkruBo8j6iG6teCzjzUAkSVaINLHsI1qJ/TZlNBBJqi8DkSaVK81WYk/fisMNBiJJ9WUg0qSyQrQS+1aYTWd7VElSTRmINKmsEK2E02WSBBiINLmsEK2EgUiSAAORJlevQmQgWo6BSJIAA5EmV69CdHKj1fF9fjDuUi1JgIFIk2sb0CXba+v4iscyvqwQSRJgINKE6rabe8lCEdhYfXAGIkkCDESabPYRLWe+C3vzfYgMRJJqzkCkSdbrI7JCtJRedWgKWOevAkn15m9BTTIrRMvpb6h2U0ZJNWcg0iSzQrQc+4ckaR8DkSaZFaLlGIgkaR8DkSaZFaLlGIgkaR8DkSaZl+9Yzr5A5KaMklTIb8IoDE4AXgK8HDgvTtJbojCIgE/13e3BOEmPi8LgHOAzwE7ghXGSfr+IMUhL6E2ZHddodWa67ebuSkczbvqvdC9JNTd0IIrCYBNwB/BPwFl93zoZuAlo5cf5hie8FbgUOA24OAqDS4H3AxfGSdoddjxSn58Au4EZsvfj7ZWOZtz0KkQbDESSVESFaBdZuDkC+FHf7ScDd8VJun3R/aeArcB64CTgXcBNhiEVrdtudhutzt3AvyHrI7q92hGNkdl5mMt/5KwQSdLwgShO0lngvigMTl/0rVOAX4nCYCtwP/DWOEn/HvgA8DlgD3Al8PQ4Sd+w+HmjMJgh+8t+47BjVK3dRRaI7CPq16sOrWu4KaMkUW5T9UeAPwSeB9wM/FUUBhviJL0eOBZ4KvBi4PooDG6PwqCdh6Cey4GHgVtLHKMmX6+PyJVm/fZNl9lQLUlQbiD6PvCXcZJ+l6xH6Bjyv9LjJJ0DPgi8DbgEuCh/zAv6Hn8FcBRwRolj1ORzpdlSeg3VhzldJklQbiD6H8BfRGFwCtkKtJ+Q/+MUhcFzgG15tWga2A48ln8NQJyku+Mk3UG2Gk0alBWipdhQLUn7KTMQXUD2V/kPgQAI4yTdAxAn6Y1klSHImqq/AJwKXF/ieFRPVoiW4qaMkrSfwhoI4iS9HWj0HX8b+JVl7t/NP18HXFfUOKRFrBAtxUAkSftxeYkm3b4KUaPV8ZLuPXvcpVqS+hmINOl6FaIjgU1VDmRsdLvuUi1JixiINNG67eZjZE37YB9RZu/8wr7xBiJJAgxEqgf7iPr1psvWT8GUs4iSBAYi1YMrzfo9bkO1JC1mIFIdWCHqt9uGaklazECkOrBC1G+PDdWStJiBSHVghaifU2aSdAADkerAClG/PQYiSVrMQKQ6sELUz12qJekABiLVQa9CdHKj1an3e77btalakpZQ738cVBfbyLYiXAccX/FYqtWbLmsAG/zxl6QefyNq4nXbzVmyUAR17yPqVYc2TEPDTRklqcdApLqwjwjsH5KkgzAQqS5caQYGIkk6CAOR6sIKEdhQLUkHYSBSXVghAtjtLtWStBQDkerCChE4ZSZJB2EgUl1YIQIDkSQdhIFIdWGFaL4Le+ezrw1EkrQfA5HqolchOq7R6sxUOpKq9KpDUw1Y54++JPXzt6Lq4iFgd/71yVUOpDL9DdVuyihJ+zEQqRa67WaXuvcR2T8kSQdlIFKd1LuPyEAkSQdlIFKdWCECA5EkLcFApDrpVYhqGoh6PUTuUi1JixmIVCe9CpFTZpKk/RiIVCc1rxAZiCTpYAxEqpP6Vohm52Gum31tIJKkAxiIVCf7KkSNVqdeG/H0qkPrGjDtj70kLWZ3peqkF4iOADYDD1c4ltGyoVrSGIrC4ATgJcDLgfPiJL0lCoOzgQ8BZwI/AC6Ok/SmJR77RuAtwHrg48ClcZJ2Bx2LfyqqNrrt5mPA9vywXn1E9g9JGjNRGGwC7gDOBc7Kb5sCPgt8DXgy8G3g2iUeeyZwJXA+8ELgtcALhhmPgUh1U88+IgORpPGzCzgNiPpuOwL4FPDuOEnvAm4ATlzisc8GbouT9Etxkn4d+Gp+28Csn6tu7iYrw1ohkqRybIzCYHPf8e44SXcvvlOcpLPAfVEYnN53207gMoAoDNYBFwDXLfEaxwM7+46357cNzAqR6qbmFSL/BpJUulvJejR7H5cP+DzXAMeu4vED9w+BFSLVTz33Iuq/0r0klesM4J6+4wOqQ4cShcF7gOcC58RJumOJuzwAbOk73gzcttrX6WcgUt3Ur0LU7TplJmmUdh4kxKxIFAaXARcCzwd2RGGwJX/O2SgMpuMknQO+AlwdhUELuBd4JnDVMIN2ykx1U78LvO6dXygkbzAQSRp7VwBHATcDD+Uf50RhEALfBIiT9BbgTcCHgS8AV8dJ+sVhXtQKkeqmN2VWnwpRrzq0YQqm6rUfpaTxFyfp7UCj73i5X1RJ3/3eC7y3qHFYIVLd9CpEJzdanXqUS5wuk6RDMhCpbu4D5oFphlyiuWa4S7UkHZKBSLXSbTdnyRrwoC59RFaIJOmQDESqo3r1ERmIJOmQDESqo3qtNNvXVG0gkqSDMRCpjupZITrMHiJJOhgDkeqoPhWibhf2OGUmSYdiIFId1adC1KsONYD1/rhL0sH4G1J1VJ8KUX9DdcNNGSXpYAppKojC4ATgJcDLgfPiJL0lCoOzgQ8BZwI/AC6Ok/SmKAzOAT4D7AReGCfp94sYg7QK9asQ2VAtScsaukIUhcEm4A7gXOCs/LYp4LPA14AnA98Grs0f8lbgUuCTwMVRGBwWhcFHojDwz1eNSq9CdGyj1Tms0pGUbV+FyIZqSVpOEVNmu4DTgKjvtiOATwHvjpP0LuAG4MS+19xK9lf6NPAu4KY4SbtIo7EdeDz/+uQKx1G+3i7Vh1khkqTlDP1nY5yks8B9URic3nfbTuAygCgM1gEXANfl3/4A8DlgD3Al8PQ4Sd+w+HmjMJgBZoCNw45R6tdtN7uNVucu4KfJ+oh+VPGQyuOUmSStyCiaqq8BjgUuB4iT9Pr8+KnAi4HrozC4PQqDdh6Cei4HHgZuHcEYVT/16CNyl2pJWpFSA1EUBu8Bngs8P07SHb3b4ySdAz4IvA24BLgo/9YL+h5+BXAUcEaZY1Rt1WOlmYFIklaktEAUhcFlwIVACOyIwmBLPn1GFAbPAbbl1aJpsp6Ox/KvAYiTdHceonaWNUbV2uRXiOa6MDuffW1TtSQtq8wKUa/CczPwUP5xDkCcpDeSVYYga6r+AnAqcH2J45H6TX6FqNdQPdWAdS7ilKTlFPZnY5ykt5Pth9s7XvY3cG9VWZyk17HQcC2NyuRXiNyUUZJWzJ2qVVeTXyHyGmaStGIGItXVvgpRo9WZzPLJ4wYiSVopA5HqqheIjiDrdZs8e9ylWpJWykCkWuq2m7vIGv1hUvuIek3VVogk6ZAMRKqzye4jcspMklbMQKQ6m9yVZt2uTdWStAoGItXZ5FaI5rrZBxiIJGkFDESqs8mtEPX2IFo3BdP+mEvSofibUnU2uRUiG6olaVUMRKqzya8QGYgkaUUMRKqzCa4QGYgkaTUMRKqzXoXopEarM1nJwUAkSatiIFKdbQPmgWnghIrHUqx9PUTuUi1JK2EgUm1128054N78cLKmzawQSdKqGIhUd70+oolprG60OlMGIklaHQOR6q7XRzRJFaITyPdkZIOBSJJWwkCkupu4ChHwUwBsmIKpRsVDkaS1wUCkupvEClEWiGyolqQVMxCp7iaxQvREwP4hSVoFA5HqboIrRAYiSVopA5HqbhIrRAYiSVolA5HqrlchOqbR6hxe6UiKk0+Z2UMkSStlIFLdbQd25V+fXOE4imSFSJJWyUCkWuu2m10mqI+o0eqspxfsDESStGIGImmy+ohOARo0gPX+eEvSSvkbU5qgChH9S+4bbsooSStlIJImq0Jk/5AkDcBAJC0EokmoELlLtSQNwEAkLUyZTUKFyF2qJWkABiJpIitEBiJJWg0DkdRXIWq0Omu9E9lAJEkDMBBJC4HocGBLheMogj1EkjQAA5Fqr9tuPg78JD9cs31EjVbnCOBYwAqRJK2SgUjKTEIf0U/ln3cyvdZn/iRptAxEUmYSVpr1AtGdbsooSatjIJIyk1AhemL++ceVjkKS1iADkZSZpAqRgUiSVslAJGUmoUJkIJKkARmIpMwkVIh6U2Z3VjoKSVqDDERSxgqRJNWYgUjK9CpEJzVanTW3iU++w7aBSJIGZCCSMvcBc2Q/EydWPJZBbAGOzL82EEnSKhmIJKDbbs4B9+aHa7GPqNc/9EC33dxV6UgkaQ0yEEkL1nIfkdNlkjQEA5G0YC2vNFvYpVqStGoGImnBWq4QuUu1JA3BQCQtmIQKkYFIkgZgIJIWrOUKkYFIkoZgIJIWrOUKkbtUS9IQ1hXxJFEYnAC8BHg5cF6cpLdEYfBE4BPA2cD3gVfESdqJwuAc4DPATuCFcZJ+v4gxSAVYkxWiRqszxcKYrRBJ0gCGrhBFYbAJuAM4Fzir71tXAo8CZwLfAT6W3/5W4FLgk8DFURgcFoXBR6IwaAw7FmlIvQrR0Y1W5/BKR7I6JwLrgXkW/hskSatQxJTZLuA0IFp0+3OA6+IkvZMsDJ0dhcER+WtuJfvFPQ28C7gpTtJuAWORhvEw8Fj+9VqaNuv1D93dbTdnKx2JJK1RQ0+ZxUk6C9wXhcHpi751PNm0GMD2/PNxwAeAzwF7yKpIT4+T9A2LnzcKgxlgBtg47Billei2m91Gq3M38GSyQPQvFQ9ppVxyL0lDGnVTdTdO0uuBY4GnAi8Gro/C4PYoDNp5COq5nOwv9ltHPEbV21rsI3KFmSQNqcxA9ADZBScBNuef7weIk3QO+CDwNuAS4KL8+y/oe/wVwFHAGSWOUVpsLa40c5dqSRpSmYHoRuBl+Wqz84Gb4yR9HCAKg+cA2/Jq0TTZlNpj+dcAxEm6O07SHSxMu0mjsBYrRE6ZSdKQygxEbybrUfou8DTgVb1vxEl6I1llCLKm6i8ApwLXlzgeaSXWcoXIQCRJAypkHyKAOElvBxp9x3cCv7HM/bv55+uA64oahzSktVghMhBJ0pDcqVraX69CtCYCUaPV2QCclB/aQyRJAzIQSfvrVYhOabQ6a2Gz0CeQVWZ3ky9akCStnoFI2t89+efDgKOrHMgK9abLtnbbTTc3laQBGYikPt1283HgwfxwLTRWu+RekgpgIJIOtJb6iFxyL0kFKGyVmTRB7gJ+nrVVITIQSVpzojA4AXgJ8HLgvDhJb4nC4GzgQ2QXh/8BcHGcpDct8dg3Am8hu7j1x4FLh7kuqhUi6UBrqUJkIJK0JkVhsAm4AzgXOCu/bQr4LPA1sutKfhu4donHnkl2PdTzgRcCr2X/q12smoFIOtC+lWaVjmJlelNm9hBJWmt2AacBUd9tRwCfAt4dJ+ldwA3AiUs89tnAbXGSfilO0q8DX81vG5hTZtKBrBBJ0uA2RmGwue94d5ykuxffKU7SWeC+KAxO77ttJ3AZQBQG64ALWHrz5uPZ/9Je2/PbBmaFSDrQmqgQNVqdI1nYGsBAJGlc3Ao83Pdx+YDPcw1w7CoeP9TWI1aIpAOtlQpRrzq0o9tuPlzpSCRpwRks7OkG2caxqxKFwXuA5wLn5Bd6X+wBYEvf8WbgttW+Tj8DkXSgXoXoxEars45nnVrpYJbhkntJ42jnQULMikRhcBlwIfB8YEcUBlvy55yNwmA6TtI54CvA1VEYtIB7gWcCVw0zaKfMpAPdD8yR/Xws1cw3LuwfkjSJrgCOAm4GHso/zonCIAS+CRAn6S3Am4APA18Aro6T9IvDvKgVImmRbrs512h17gFOZbz7iNylWtKaFyfp7WTXZOwdL3cdyaTvfu8F3lvUOKwQSUtbC31ETplJUkEMRNLS1sJKM6fMJKkgBiJpaWuhQmQgkqSCGIikpY11hajR6jRwl2pJKoyBSFpaLxCNa4XoGODw/OutVQ5EkiaBgUhaWm/KbCwrRCxMl93fbTcfr3QkkjQBDETS0sa9QuSSe0kqkIFIWlqvQrSFuflKB3IQLrmXpAIZiKSl7QAeBWDPWAYiV5hJUoEMRNISuu1ml16VaM9ctYNZmoFIkgpkIJIOLusj2j2Wgcgl95JUIAORdHBWiCSpJgxE0sFlFaIxC0SNVmeahdVvBiJJKoCBSDq4rEI0flNmJwLrgDngnorHIkkTwUAkHdxYVohY6B+6u9tuzlY6EkmaEAYi6eDGtYfI/iFJKpiBSDq4hVVm3W7FQ9mPu1RLUsEMRNLBZf05XWB2rAKRu1RLUsEMRNJBdNvN3cADwLhNmzllJkkFMxBJyxvHPiIDkSQVzEAkLW8cd6t2l2pJKpiBSFreWFWIGq3ODNk+RGCFSJIKYyCSljduFaLeDtWP0+tvkiQNzUAkLW+sKkT09Q91282xWvomSWuZgUha3rjtVu2Se0kqgYFIWt7YVogqHYUkTRgDkbS8vEI0Py67VbtLtSSVwEAkLe9+GvlXe+YrHUjOKTNJKoGBSFpGt92cZ8N0djAe02ZOmUlSCQxE0qH0AtF4LL03EElSCQxE0qGMSYWo0epsArbkhwYiSSqQgUg6lA35j0n1U2a96tDD3XZzR6UjkaQJYyCSDmVmbKbMnC6TpJIYiKRDGZMpM1xyL0mlMRBJhzI+gcgl95JUknVlPnkUBhcAvw8cDdwAvAz4z8BFwOeBl8ZJOha73UkH5ZSZJE280ipEURgcC1wDvBNoAj8H/DEQAb8M/AxwVhQGz47C4MKyxiENrVchmuvCXKWbMxqIJKkkZU6ZNYA5YCvZ5Q8ezY93AbcDO4BjgCuBtMRxSMOZbsBUvl11tdNmvSkze4gkqWClBaI4SR8ALiebGtsBbADeCtwIPAzsBS4A3hEn6X2LHx+FwUwUBpuBjWWNUVqRRqNv2qyaClGj1WlghUiSSlPmlNkTyPqHXgP8KrAeeGOcpK8CjgCuBXYCQRQGP47C4KJFT3E5WXC6tawxSitWfWP1scBh+ddbqxqEJE2qMqfMfhWYjpP0z+Ik/Ufgs8Dv5N87CXgz8Eng58n6it6+6PFXAEcBZ5Q4Rmllqg9EverQtm67ubuqQUjSpCpzldmtwOFRGLwY+AfgucA38u+9HbgEmAX2AA/CvmuKAxAn6W5gdxQGm0oco7QyM/nfDtWtNHPJvSSVqMweog7wWuAqoEP2i/xt+bcvjJP0ZuBbwDayoPS+ssYiDW18KkQGIkkqQan7EMVJ+mfAny1xezf/PA/8bpljkAoxPoHIFWaSVAJ3qpZWYqbyQOSUmSSVyEAkrcSGvt2qu5Vsru6UmSSVyEAkrUQvEHWB2Ur2IjIQSVKJDETSSkw1YF3+4zLiabNGqzMNPCE/tIdIkkpgIJJWqrrdqk8Gpsm2qbh31C8uSXVgIJJWqrqVZr3psru77WalF1OTpEllIJJWqrqVZi65l6SSGYikldpQ2W7VLrmXpJIZiKSVqn7KzEAkSSUxEEkrVf2UmYFIkkpiIJJWqn9zxtHqTZnZQyRJJTEQSSvVC0R752F+pLtVWyGSpJIZiKSVWj8FjfzrvaOpEjVanRnghPzQQCRJJTEQSSvVaFQxbXZq/nkX8OCoXlSS6sZAJK3GvpVmI9utet+S+267WclVZSWpDgxE0mqMfum9/UOSNAIGImk1Rr/03l2qJWkEDETSaox+t2p3qZakETAQSavhlJkkTSQDkbQaMyNfZWYgkqQRMBBJqzH6CpG7VEvSCBiIpNXoBaK5LsyVu/S+0epsBjbnh1aIJKlEBiJpNdZNwXS+XXX5VaLedNn2bru5s+wXk6Q6MxBJqzW63apdci9JI2IgklZrdLtVu+RekkbEQCSt1ug2Z3SFmSSNiIFIWq3Rbc5oIJKkETEQSas1uqX3LrmXpBExEEmrNbpAZIVIkkbEQCSt1gh2q260Og3g1PzQQCRJJTMQSavVXyHqdst6leOAw4AucFdZLyJJyhiIpNXqBaIuMFva0vte/9C2bru5u6wXkSRlDETSak01YH3+o1NeH5H9Q5I0QgYiaRDl71btLtWSNEIGImkQ5e9W7S7VkjRCBiJpEOWvNHPKTJJGyEAkDWKDPUSSNEnWVT0AaU0qf3NGd6mWNPGiMDgBeAnwcuC8OElvicLgbOBDwJnAD4CL4yS9aYnHvhF4C7Ae+DhwaZykA++FYoVIGkSJU2aNVmcdcEp+aIVI0kSKwmATcAdwLnBWftsU8Fnga8CTgW8D1y7x2DOBK4HzgRcCrwVeMMx4DETSIMqtEJ1M9rM5C2wr4wUkaQzsAk4Dor7bjgA+Bbw7TtK7gBuAE5d47LOB2+Ik/VKcpF8HvprfNjCnzKRB9ALR3nmY72Z7ExWn1z+0tdtuln7BNEkq2MYoDDb3He+Ok/SADWbjJJ0F7ovC4PS+23YClwFEYbAOuAC4bonXOB7Y2Xe8Pb9tYFaIpEGsn4JeBtpbeGZxyb2ktexW4OG+j8sHfJ5rgGNX8fihrqVkhUgaRKORVYl2z2UfM4X+KLnCTNJadgZwT9/xqi8/FIXBe4DnAufESbpjibs8AGzpO94M3Lba1+lnIJIG1QtExW/O6C7VktaynQcJMSsShcFlwIXA84EdURhsyZ9zNgqD6ThJ54CvAFdHYdAC7gWeCVw1zKCdMpMGVd7lO5wyk1RnVwBHATcDD+Uf50RhEALfBIiT9BbgTcCHgS8AV8dJ+sVhXtQKkTSomdJWmjllJqk24iS9nYWuTOIkXW6VStJ3v/cC7y1qHFaIpEGVt1u1gUiSRsxAJA2qhApRo9U5nIWlo/YQSdKIlDplFoXBF4Hn9d10FTAPXAR8HnjpMNtsS5Uqp4fo1PzzY2Tz5pKkESi7h+hk4DVku05CtgPl14FfBj4JnJVv3X1GnKQfLnksUrHK2a1633RZt930jwVJGpFRBKIfxUm6HSAKg2myrbpvB3YAx5B1k7dKHodUvF4gmuvC3DxMFzID7ZJ7SapAaYEoCoMNZDtM/kkUBh8lu1Dbq4EbyXauvIFsS+53xEl63xKPnwFmgI1ljVEayropmG5kgWj3HBxRSCByyb0kVaDMpuou2dVn3wj8LtAE/iBO0leRTZ1dS3YdkiAKgx9HYXDRosdfThacbi1xjNJwip82c4WZJFWgzEA0DfxNnKR/l1+JNiULRQAnAW8m6yP6ebIr3b590eN7GzOdUeIYpeHsC0SF7VZtIJKkCpTZQ/Rk4DtRGPxH4B/ItuD+Sv69twOXALPAHuBB+jZlAsivjLs7b7qWxtNM4SvNelNm9hBJ0giVViHKt9V+HdlS+38CfshCFejCOElvBr4FbAO+AbyvrLFIpXHKTJImQqmrzOIkfT/w/iVu7+af58n6i6S1qcBA1Gh1jgJ6FVEDkSSNkDtVS8OYKfTyHb3q0E+67eajRTyhJGllDETSMIrdrdol95JUEQORNIz+KbPu0BtL2z8kSRUxEEnD6AWiLrB36KX37lItSRUxEEnDmGrA+sL6iJwyk6SKGIikYRW30swpM0mqiIFIGtZMYbtVG4gkqSIGImlYBaw0a7Q6U9hDJEmVMRBJwypmyux4YANZe/ZdQ49JkrQqBiJpWDOFBKJedejebru5d8gRSZJWyUAkDWtD/mM03OaMTpdJUoUMRNKwipkyc8m9JFXIQCQNqxeI9s7D/MC7VbvCTJIqZCCShrV+Chr514NXiQxEklQhA5E0rEajiGmz3pSZPUSSVAEDkVSE4VeaWSGSpAoZiKQi7NuccfW7VTdanXXAyfmhgUiSKmAgkoow3JTZKWQ/i3uBbYWNSZK0YgYiqQjDBaJe/9DWbrs59AXRJEmrZyCSijAz1PXM7B+SpIoZiKQi9HarHqxC5C7VklQxA5FUhGKmzKwQSVJFDERSEXpTZnNdmF11G5BTZpJUMQORVITpKZjOt6tefZXIQCRJFTMQSUUZfNrMXaolqWIGIqkoA+xW3Wh1jgCOzQ+tEElSRQxEUlE2DLT0/tT886PA9kLHI0laMQORVJR9U2araqret+S+2252Cx6RJGmFDERSUQarELnkXpLGgIFIKspgV7x3hZkkjQEDkVSUwXarNhBJ0hgwEElF6a8QdVfcDuSSe0kaAwYiqSjr80DUBfauuLHaCpEkjQEDkVSUqQasX/m0WaPVaWAgkqSxYCCSirS63aq3ABvzrw1EklQhA5FUpJlVLb3vVYce7Labj5U0IknSChiIpCKtrkLkdJkkjQkDkVSk1e1WvW+X6pJGI0laIQORVKTVTZm5S7UkjQkDkVSk1W3O6JSZJI0JA5FUJHuIJGlNMhBJRepNme2dh/lD7lbtLtWSNCYMRFKR1k1BI/96mSpRo9WZAk7ND60QSVLFDERSkRqNlU6bnQCsJ7vQx92lj0uStCwDkVS0la006/UP3d1tN/eWPCJJ0iEYiKSiraxC5JJ7SRojBiKpaCsLRK4wk6QxYiCSijazot2q3aVaksaIgUgq2oYV9RA5ZSZJY2RdmU8ehcFbgTcBRwLXA+cDvw9cBHweeGmcpIfcrEVaU1a2W7VTZpI0RkqrEEVh8FzgncB5wK8AzwJeD0TALwM/A5wVhcGzozC4sKxxSCM3Yw+RJK01ZVaI9gCXxkn69wBRGHwfOBnYBdwO7ACOAa4AWiWOQxqt3pTZXBdm57PNGvs0Wp0NZD8LYA+RJI2F0gJRnKQ3AjcCRGHwC8AzgEuBw4CHgRuAC4B3xEl63+LHR2EwA8wAG8sao1SK6SmYbmSBaM/cAYEIOIVsP+s9wP0jH58k6QClN1VHYXAqWb/QVXGSfj1O0lcBRwDXAjuBIAqDH0dhcNGih15OFpxuLXuMUuGWX3rfmy7b2m03l12KJkkajVIDURQGxwF/R1YNelvft04C3gx8Evh5sr6ity96+BXAUcAZZY5RKsXyu1W75F6SxkyZTdUbgb8l+6X/ZuCoKAw2599+O3AJWT/RHuBBFi6JCUCcpLvjJN1BVkWS1pblK0QuuZekMVNmhehFwC8BzwMeAB4COvn3LoyT9GbgW8A24BvA+0ocizRay2/O6AozSRozZTZVfwL4xEG+180/zwO/W9YYpMosvzmjgUiSxow7VUtlWNmUmT1EkjQmDERSGZbfrdoKkSSNGQORVIb+3aq7C1enabQ6R5JtSAoGIkkaGwYiqQzr80DUBfbu11jdqw49QrbPliRpDBiIpDJMNWD9ktNm+6bLuu2mFzaWpDFhIJLKsvRFXu0fkqQxZCCSyrL00nt3qZakMWQgksqy9NJ7d6mWpDFkIJLKsvRu1U6ZSdIYMhBJZVl+ysxAJEljxEAklWXRlFmj1WngLtWSNJYMRFJZZvIfr4UK0dHAEfnXW0c/IEnSwZR2cVep9noVotl5mO/CwnTZA912c1dFo5KksRGFwQnAS4CXA+fFSXpLFAZnAx8CzgR+AFwcJ+lNSzz2jcBbgPXAx4FLexePH4QVIqks66agkX+dTZu55F6SclEYbALuAM4FzspvmwI+C3wNeDLwbeDaJR57JnAlcD7wQuC1wAuGGY+BSCpLo7F4c0aX3EvSgl3AaUDUd9sRwKeAd8dJehdwA3DiEo99NnBbnKRfipP068BX89sG5pSZVKYN0/D4XK+PyBVmkupgYxQGm/uOd8dJunvxneIknQXui8Lg9L7bdgKXAURhsA64ALhuidc4HtjZd7w9v21gVoikMu2/0sxAJKkObiW7eHXv4/IBn+ca4NhVPH6o60NaIZLKtGHJKTN7iCRNsjOAe/qOD6gOHUoUBu8BngucEyfpjiXu8gCwpe94M3Dbal+nn4FIKlOvh2j3PFghklQPOw8SYlYkCoPLgAuB5wM7ojDYkj/nbBQG03GSzgFfAa6OwqAF3As8E7hqmEE7ZSaVad9u1bMAT8hvNRBJ0sFdARwF3Aw8lH+cE4VBCHwTIE7SW4A3AR8GvgBcHSfpF4d5UStEUpl6gejRvZDtlTEP3F3dgCRpvMRJejsLm5QQJ2nj4Pcm6bvfe4H3FjUOK0RSmXq7Vc/t6/W7u9tuzlY1HEnS0gxEUpl6FaIFTpdJ0hgyEEllmp6C6f2qv64wk6QxZCCSyjazX5XICpEkjSEDkVS2DQYiSRp3BiKpbAYiSRp7BiKpbPtPmT1e1TAkSQdnIJLK9vh+q+zbjVbnlVUNRZK0NAORVKbds3D/rv5bpoBrGq3OqRWNSJK0BAORVKZdS+7BOA08ecQjkSQtw0AklenwJa+OMwf8cMQjkSQtw0AklWlmHTzl6P5b5oBXd9vNrRWNSJK0BC/uKpXtpCPh6Bn4xr2/DvzQMCRJ48dAJI3CzDq67eaXqx6GJGlpTplJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaK/Vq91EYnAtcARwNfA64CPij/PPngZfGSdotcwySJEmHUlqFKAqDY4FryQLQrwK/DbwFiIBfBn4GOCsKg2dHYXBhWeOQJEk6lDKnzJ4ONICPx0n6XeBvgV8DdgG3AzuAY4ArgbTEcUiSJC2rzCmz44FH+6bEtgNPAm4EHgZuAC4A3hEn6X2LHxyFwQwwA2zMbzoxCoPCB3lY88pCnicKX/GEQp5oBYoaM6zNcY9yzLA2x70WxwyQNq/cWsTzbJ0t5lfba8NgpP/9V5+29sa9FscMa3PcRY0ZShv3iSU858g0ut1yWniiMHgZ8Kdxkh6XH18JPC1O0t+MwmA98CLgN4Fp4LnAH8dJ+sG+x/8B8PulDE6SJJXlF+Mk/VbVg1itMitEDwCbojCYipN0HtgM9CpBJwFvBt4E/ClZX1ECfLDv8Vfk3wP4OWDYvxw3ArcCZwA7h3yuOvG8DcbzNhjP2+A8d4PxvA3mYOftROB/VzKiIZUZiL4BzAGvjsLgfwG/A7wj/97bgUuAWWAP8CBZv9E+cZLuBnbnh18fdjBRGGzOv7wnTtIdwz5fXXjeBuN5G4znbXCeu8F43gazzHm7q4rxFKG0puo4SR8Azgf+E/A14EvAx/NvXxgn6c3At4BtZOHpfWWNJbcb+K8shCytjOdtMJ63wXjeBue5G4znbTATd95K6yGSJElaK9ypWpIk1V6pO1WPi6V2zM57lAREYfBF4Hl9N11FNoX5CeBs4PvAK+Ik7URh0ADeRTYduhe4Mk7S/zbiIVciCoMTgJcALwfOi5P0lkXffyPZ5qPryaaHL42TtBuFQRP4c+BngX8EXh4n6Z351hJ/Bvwu2bYUl8dJ+ukR/eeMzArO2/fJNmrtuSRO0qs9b8FbyRaeHAlcD5wfJ+mjfd/3/baEFZw332+LRGGwDngn0NskuQ28Kk7Sx/vuM/Hvt4mvEB1kx+wLKh3U+DkZeA1ZYDwaeBvZhpmPAmcC3wE+lt/3d8guvfICsh+eq6Iw+PlRD3jUojDYBNwBnAuctcT3zyQ7Z+cDLwReS3aOAD4KfJPsXO4lC5wArwR+C/gV4N3An0dhcHxp/xEVONR5y51Mds56778P57fX+bw9l+wfqPPI/jufBby+7/u+35ZwqPOW8/12oJcCrwJaZP+dv8VCOKrN+23iAxFL75j97GqHNHZOBn4UJ+n2/ONx4DnAdXGS3kkWhs6OwuCI/Pavxkn6j3GS/k/gX4FzKhv56OwCTiPbImIpzwZui5P0S3GSfh34KvDsKAwOB34JuDY/l59k4f33HOALcZLeSvZLeZqsIjdJlj1vURgcCWwC/qXv/bfH88Yesr/A/z5O0n8mq9L2b3rn+21py543329Li5P0E3GSHhMn6U3AvWTncW/fXWrxfqvDlNnBdswWEIXBBuBY4E+iMPgo2YrAV5Odt97eEtvzz8ctur33vbFO/UWIk3QWuC8Kg9MPcpeDnZfeudm56PbeY36cP/98FAaPMGHncgXn7ZTeXaMwOI5siuO1eN5uJNvVnygMfgF4BnBp3118vy1hBefN99syojDoAE8Fvgx8qO9btXi/1SEQLcWldQu6ZL8QbiO7vtxfAH+wzH1Xc3vdDXK+6nYu7wPeAPwDcBjwV8D3yDZqXax25y0Kg1OBzwNX5X+ZL8f3W26Z8+b7bXkvIOsF+jTwe2TtJgczce+3OgSi5XbMVlbG/Js4Se8CiMIgBX6Z7Lxtye/T24Dr/vz2J/Y93vOZ6T9fkJ2X28jOGex/Lu9b/Ji8WX0T9TuXs8Cn4yTdBpBv4toka8aEGp+3vILxd2TXfXzbom/7fjuIQ5w3329LyBujT4yT9O+Arfl5+TUWAlEt3m916CHq3zH7DLKm4C9XOqLx8mSyH4BzozB4EvB8oENWdn5ZFAZPJGukuznvLboReGYUBs+IwuD5wE8DX6lo7OPkK8CTojBoRWFwNvBM4Mtxku4iW3lxQX4u/y8W3n83Ai+IwuCpZA2Is2R/udbJr5G9/56dN27+KtCp+3mLwmAjWb/jnWSXOTqqb2dg8P22pBWct1/D99tSfgH4bP57/UyyRuj+y2/U4v028RWiOEkfiMLgfLKl4n8MfJaFHbNrL07SW6IweB3ZyoDNZH9ZvZ0szX8c+C7Z9Wp+L3/I35Ityf88WdPdG+Mk/d5oRz0+ojC4Hfj9OEk/EYXBm8iaB9cDV8dJ+sX8bq8ka0z/LllAf3V++0eBfwfcRDb3fn6cpD8Z3eirs+i8vQf472Tn7a+B9+d3q/N5exFZsypkf2kD3BGFAfh+W85KzpvvtwNdRxaKPk9WKPkr4AN1+/3mTtXSgKIwmCb7QX9RnKRfqng4a4bnbTCet8F43gZTx/NWhykzqSy/RHbh4f+36oGsMZ63wXjeBuN5G0ztzpsVImkIURg0+rZ00Ap53gbjeRuM520wdTtvBiJJklR7TplJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTaMxBJkqTa+/8BbqencVyBSx0AAAAASUVORK5CYII=);} 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);} 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);} 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);} 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);} 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);} 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fvuXdiwsgt5Z7U99xezOnc9dSsqciODBXDEJiLbl6c8MfngB8AjwPfB3ZxYuAZj0eGj6XZXxEREUlXIwLRmfb2h8U7gjB6AHjA99xfxRTUex2wF7gKyPme+yngzcCVFZ73RuBDxW/2TF7Klp5TvAzUDcQAD7705bxp10fKbXEYWFvlWXqBC2wDM921D/hJ8dbJ5U/43t7u05lYIiIi7aERgaj4nN2+564Ddtvvn8NUFv5GEEY7Aeyo0FuB7wGrgC8DFy7zvDuAjwNnAE+l2eGze1+giwUWTlzuUwDOwUx3bbPt9Cq36zBThC+zrSInl5/m5KBU9lZVlkVERBqnEYFop719JfBvmJGTy4B3YwJRqTuADwD/AYwEYXTI99yyTxqE0Rww53tuX9odHlo1zm0v+hRX/fi9FOimmwIFuq8qWVi9k8X9KqvkkhVJgtPpmJGlPtvOrtZHJ5c/SILgBOzXKfIiIiK1aUQg+hbwKPBXwBWYejfbMbVvThCE0fd8z/0Pu53XgL4k9p6BB/iFvsd4du4Mzup9gaGP/dvttfy8Pctr2rZnK21bUm8oSXDahhk922Tbz1Tri5PLHyDZyNNoPDJ8ivOOIiIinS/1QBSEUex77i8DnwAexvwyfxR4DyVrgErcAbwPuDftvtRqaNU4Q6vGG/46NjxN2vZ0pW1teNpMsuC0DXOZjQHbzqvWFSeXHyPZyNOYaheJiMhK5cRx25z5nojvuS8G9tyy/clTX1RdyUd3Oo178sawF2IdINnI01Zqq5G0gDlrLsnI04F4ZPikEUEREZE0FLMAMBSE0d40nlOVqlcQG0LGbHu80ra2ivYgyUaeBjHhqTgKVc28k8vvJ9nI04SKSoqISKspEGWUnf7aZ1u+0rZOLt+DGVFKMvI0gPl39SLbqjlqw1OSkacphScREWkEBSKpyi68fsG2iuzlTU4j2cjTJsy124Zsq2bOyeUTlSkAZhSeREQkKQUiSZU95X+PbRU5ufwaTHhKMvLUhylVsN22ag4tUxDzpFsVyBQREQUiaZl4ZPgIpmDnc9W2dXL5dSQrkHk6pkDmOuCnbav23DMkL5B5pJZ9FBGRzqBAJB3BjuL8yLaKnFy+lgKZazAFNc+yrdpzT5Jsym6fCmSKiHQOBSJZceKR4RlgBlMBfVm2xlMfyQtkrgY22nZOtX44ufwEyQtk6gLAIiItpEAkmWUXXU/Z9sNK29rwtInkBTJ7MAU1NwM/W60vNRTIHFWBTBGR9CkQiSRgw9OEbRUvLmwLZG4m2cjTaZgaT4O2nV+lKws2PCUZeRpXgUwRkWQUiERSZkPIuG1PVNrWFsjcQrKRp2J18dNsq6ZQQ4HMAypTICJZpkAk0kJ2+mu/bd+vtK0tkDlIspGnLZjr2p1hWzXHEhTILH49qfAkIitNxwaia3efl9r1S0Q6gS2QWQwmFTm5/CqSF8jcjLkI84ttq2ZumRpP5e6bVngSkU7QsYFIRJZnz1rba1tFTi7fS/ICmf2YApkvsa2awzUUyJxNvociIulSIBLJuHhkeA543raKnFx+LckKZG7D1HdaC7zUtmrPPUv5KbpyNZ4OJ99DEZHqFIhEJDEbRHbZVpGTy68neYHMtcB64Ezbqj33FMnOtNtvA5+ISEUdG4ii4Zv3ODcdqPnn4usHnAZ0R0SWsFNgO21blq3xtIHkBTJ7MVN3/SQvkFmxqjiL4UkFMkUyqmMDkYisDHbR9bRtz1Ta1oanjSQvkLmKxQKZ51bri5PLj5Ns5GnMLnIXkRVCgUhEOoYNTwdte7rStjY81VIgs1gTagvVC2TGTi4/SrIaT+OqLi7S/hSIRGRFsuHpgG1PVtrWVhevt0DmK6p0pWDDU5KRpwlVFxdpDQUiEck8G0JGbXu80ra2unjSApmDmJGn022rZt6WKUgy8nRQNZ5E0qNAJCJSAzv9VQwtFdkCmVtJNvI0gPlMTlog82jSGk+oQKZIVQpEIiINYs9a+7FtFTm5/GqSF8jcCKwGfsq2ao44uXyS4LQvHhmeSb6HIiuHApGISBuIR4aPAntsq8jJ5deQvEBmH7CG2gpkJhl52hePDB9Kvoci7U2BSESkw8Qjw0eA3bZV5OTy60heIHMdpkDmy2yr9tzTJJuy26cCmdLuFIhERFYwO4rzI9sqcnL5WgpkrsGMPvUBZyd47oMkG3nab0fLRJpKgUhERACw64eetW1ZtsZTP8lHnlYBm2z7mWr9cHL5AyQbeRpVgUxJiwKRiIjUxJ6xNmnbDytta8PTJpIXyOzBnHE3AJxXrStOLj9GspGnMRXIlEoUiEREpGFseJqw7QeVtrUFMgdINvJ0GqZA5lbbXl6lKws1FMg8oAKZ2aNAJCIibcGGkDHbnqi0rS2QuYXkBTK7WDwzr5p5J5ffT7KRpwnVeFoZTjkQ+Z57CfA1+22MOWX000EY7TjV5xYRESnHTn/tt60iJ5fvIXmBzC2Y340vsq2aYzUUyJxaLjw5ufwQZnH6M/HIcNXSC5K+NEeIhoBDwBuAu3zP3RmE0R0pPr+IiEjN7MLrF2yryBbI3EqykadNmAXjQ7ZVM7dMgcyXAb8FOJipvSvjkeHbk++hpCHNQDQZhNEMMOJ77r8Dl/ieeyHgA2uBW4MwusH33C8DY0EYXe577nmYYdFXYC7A+BngYuAp4IogjB4rPrnvub1AL7AhxT6LiIgcZ0/532tbRU4u30vyApn9mN9h221bThdwq5PL36+RouZKfQ2R77lnY06r/DIm9f4iJhB90/fcO4EvAh/3PbcLuBR4Mgijx33PvRcYtz97NSYcXVDy1DcCHyp+s2fyUrb01HC25Ud3OvXvlYiIyIlsscnnbKvIyeXXUj4ovRr4lSWbdwNnkaBquaQnzUC0x/dcBzOCcyewA/gw8E+YBW0AZwBfAm4D/jPwy8Advuf2AG8BDmNCUg+w1vfc1UEYFQt07QA+bp/jqRT7LSIi0lDxyPBhYJdtx9m1Q2/FjAwVFahSC0rS11V9k8Quwkx9rQvCyAfeDlwD/B4mAQM4QRhNAfcB/x0zPXYndt4UuAEzKvRy4EzgWPHJgzCasz+rCw+KiMiKYKfFrsSEIOztVZoua740R4ies2uIijYBRzFp+KIl234R+AfgiSCMngLwPfdh4DLgfuAc4E1BGL0/xf6JiIi0nXhk+HYnl78fM032rMJQazSyDtHngBzwHeBBzPqgM+xjI8AcZnSo6F3AXwOPAqPAtQ3sm4iISNuwIUhBqIVOORAFYfQQZspr6f3TmAXV5X5mFnNF5dL7nsesKRIRERFpqjTXEImIiIh0JAUiERERyTwFIhEREck8BSIRERHJPAUiERERyTwFIhEREck8BSIRERHJPAUiERERyTwFIhEREck8BSIRERHJPAUiERERybxGXty1oa7dfd5QEEZ7W90PERER6XwaIRIREZHMUyASERGRzFMgEhERkczr2DVEwDbfc1vdBxEREWm+bWk/YScGouKb8N2W9kJERERabRuQyglWnRiIHgNeA+xrdUcabAPwFHAuMNPivrSC9l/7r/3P7v6D3gPtf/X934bJBKlw4jhO67kkRb7n9gOTwMYgjKZa3Z9m0/5r/9H+Z3b/Qe+B9r/5+69F1e1rDvgje5tF2n/tv/Y/u/sPeg+0/03ef40QiYiISOZphEhEREQyT4FIREREMq8TzzLreL7nngb8FnA58I4gjB73PbcH+EXgncDTQRj97zI/9xDwxiV3fzUIo59vbI/TV+97YH/2/wDXAmuAu4ErgzA62pSOp0T7r/2nvs+ALuBjwLuBCeDGIIyCpnU8Jcvs/2uBvwbOB34IXBOE0SNlfvYPgA8Aq4DPAtcHYdRxaz+y/h6c4v5vB95hf/ZVQRilchaeAlGT+Z7bB+wG/h24oOShfwBeBfQDu5b58RyLx8wBvg3c1YBuNtSpvAe+514A/DHmvdgNfAP4F+BvG9Td1Gn/tf/U/xlwOSYwvQl4CfBF33P/NQij5bZvO+X23wa9u4AvAb8C7AA+A5yz5GfPB24GfglzBtLXgIeBLzel8ynJ+ntwivt/HvAd4AngrDT7pSmz5jsMbAf8Jff/zyCMzsHUXSgrCKOZIIwOBmF0EHgDMAh8rlEdbaC63wOg+FfQbuB5zBkI86n3sLG0/9r/evf/9cAjQRh9Nwiju4GdwFsa082GKbf/64AvADcFYbQXeJDylYj/K/BMEEZfCcLoW8D/s/d1mqy/B6ey/7uBM4Dr0u6URoiaLAijeWC/77kvXXL/CzU+1XXA3wRhNJtW35rlVN6DIIy+53vuLcD3gAXg63RYKNT+a/+p/zPgR8DbfM/dCmzC/FF0Wtp9bKRy+2+nPG4AsFOHVwCfL/PjWzmxSN9Be19Hyfp7cCr7X/yd14hLd2mEqAP5nnshZoTollb3pdl8z3015j+KB/wc8Ergv7W0U02k/c/2/mPWVzwPvADcA6y2X68ktwJbgBsTbt9Ra2cSyvp7UOv+p0KBqDNdB9wdhNFzre5IC/w8sDMIo7uCMPo68FXMXHpWaP8zvP9BGE0GYfR6zFTCRZhphu+3tlfp8T33T4E3A7+wTHXiMczIWFE/sL8JXWuarL8HCfa/YRSIOoDvud0lX58J/BrwFy3rUAuUvAdPAmf6nnuJXVx3kb1vRdP+a/9Lvl6LWVD9BeChIIy+3bKOpcj33BuAKzGjf1O+526yUyel+/914GW+5+bsGUkXAQ+1or+NkPX3IOH+N4wCUZvzPdcDvlty1/uAR8udirhSlb4HQRiNAH8G3IFZTPhVVng41P5r/zn5M+ArmKmylTRduAPYCHwTU1JgArh4yfF/HLP/twH3ArcEYXR/a7rbEFl/D6rufyPp0h0iIiKSeRohEhERkcxTIBIREZHMUyASERGRzFMgEhERkcxTIBIREZHMUyASERGRzFMgEhERkcxTIBIREZHMUyASERGRzFMgEhERkcxTIBIREZHMUyASERGRzFMgEhERkc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);} 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);} 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);} 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);} 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o46JU6j0BEGpUCkYg0JceBYwc/z7GDn+djY3/Pzrwfc7ccYWaQNpzInzZN4cUdY/j5urP4+bqzAJg86Pm2+qNzhs3ngAGv1XkUItIoFIhEpCX0d3Zx6pDFnDpkMVcfeBtbdw3gz5uOa7u89vDmo3lm23ie2TaeG9a+HYDp+y1pC0hvGrqA4brFiEhhKRCJSEsa3G8HZw9/nLOHP86Xx/2c9TuHMGvjtLaA9PjWiTy25Uge23Ik31jtM9DZzhlDFrVdXjt96CIGOjvrPQwRqREFIhEphJH9N/POkY/wzpGPAPDSjlHcU1agvXT7OO7fNJX7N03lS4QM67eZNw9d0BaQ3P2W6hYjIi1MgUhECmncgHWEo+8nHH0/AEu2jWPGBpe7N5zIPRtPYNXOUfx+wyn8fsMpABzQf11FgfaRg17UCjaRFqJABFy17PgJUZysrHc/RKR+jrTto4DjZf2AE4DzbDtr1c5Rw25dfya3rj+zdMoyYIZt9+Sp+2Ltey0ifUWBSESkgzx1dwHzbPum42UDgdcB52MC0hnARODDtuF42ROYcHQ3MCtP3fV16LqI7CMFIhGRPchTdzvwgG3/6njZMOBNtM8gTQem2vZxYKfjZY/QPoP05zx1tYRNpIEpEImI7KU8dTcCf7ANx8vGAufQPoM0GTOLdAbwz8AWx8v+hJk9mgHMzVNXS9hEGogCkYhIL+Wpuxr4lW04XnY47bNH5wEHY8LS+faUVx0vu5f2GaSn8tTVEjaROlIgAhL3uhXO19bUuxvSR/Krx2jtj9RVnrrLgZuBmx0vc4ApmGB0PnA2MBp4j20AzzteVgpHM/LUXVHrPosUnQKRiEgV2ZmfBbb9j+NlA4BTaJ89eiMwHvigbThe9hTts0cz89TVX2wiVaZAJCJSQ3nq7gAesu0/HC8bAryB9hmkU4BjbfsYkDteNof2gPSnPHU31aPvIq1MgUhEpI7y1N1Me9j5f46XjcZcVivNIE3BhKRTgM8C2xwve7DsnEdsyBKRXlAgEhFpIHnqvgoktuF42XjgXNpnkCZgAtPZwJeB1xwvm0V7QHpcBdoie0+BSESkgeWp+zzwU+CntkD7aNpnj84BxgCebQAvO152D3aJf566S2veaZEmpEAkItIk7MzPItu+a28xMp32gPRm4CDgr23D8bIlVN5i5JXa91yk8SkQiYg0KXuLkTm2fd3xssGYzSBLAel0Km/ThuNlGe23GLkvT90Ndei6SMNRIBIRaRF56m4FZtn2BcfLRmBmjUr1RycArm2fAHY4XvYQ7TNIf8lTd1s9+i5SbwpEIiItKk/d14Df2objZQfRXqB9HnAEZh+kNwJfADY5XnY/7TNI8+wslEjLUyASESmIPHVfBn5hG46XHUHlLUYOBN5mG8DqDrcYeUYr2KRVKRCJiBRUnrrPAj8AfmALtKfRHo7OAsYCF9kG8FyHW4y8UPtei1SHApGIiJQKtDPb/svxsoHAabQHpDcAhwEfsg3HyxbQPns0y+6hJNKUFIhERKSTPHW3Aw/a9mXHy4YCZ2KKs88DTgKOt+0fgF2Ol82mPSA9kKfulnr0XWRfKBCJiMge2fun3WUbjpeNpfIWI8cAr7PtGmCr42UPYDeIBB7NU3dn7Xsu0jMKRCIistfy1F0N/No2HC87jMoC7UMwK9rOtaesc7xsJu0zSAtVoC2NRIFIRER6LU/d54BbgFvsLUaOo/IWI6OAd9sG8EKHW4w8V/NOi5RRIBIRkT5lZ34W2na942X9gZNprz96I2YG6QO24XjZ07TPHt1rZ6BEaqapAlEY+GcD9wIjojjZYB/zgDuA9wPXRHFyUv16KCIiHdnaoUdsu9bxsv0wq9ZKM0inYW5aezRwJZA7XvYY7RtE/ilP3Y0AjpdNsMc9nafuihoPRVpYv3p3oK9EcXIrcGq9+yEiIruXp+6WPHXvyVP3n/PUPQOz35EP/A+wAHAwq9g+DfwBWOt42SzHyxJgGXAPsMzxssvq0X9pTU01Q7Q7YeBfhfnPMykM/JnALmAyMBj4QhQnN5QdO9g+PrwOXRURkTJ2/6LbbcPxslJBdmkG6XDMPdnK9QNucLzsTs0USV9o1kC0Igz80vvdjWEQZqfV9wLXh4H/uyhOSkV71wBfbPti6y5k7IAdVeqq9KmvLnHq3QURqS67A/bPgJ/ZAu2pmHKJAzoc2h/zh68CkfRas14yewMw3baPd3PMX6I4eRb4L2AncErZ567FrHg4rnpdFBGRPnAAcCOdwxCY1/ZnatsdaVXNGoiWR3GyNIqTpcDLPTjesQ2AKE62RnGyHthQpf6JiEgvOV42BXgIeD3wKvB1TAjCvr1Cl8ukrzRrIOqJ14eBfyTwj5gw9Eid+yMiIj3keNl5wJ+BI4DFwBl56n4WmITZ12hSnro31a+H0mqatYaoJ/pjViIMAf4+ihP9FSEi0gQcL/sI8F3M76gHAD9P3VUAdkZIr+fS55oqEEVxMpOyS1/2sbTssevLPvWnKE4+XaOuiYhILzle1g9T4/lZ+9DPgMvy1N1av15JUTRVIBIRkdbkeNlQ4CeYlcEAXwL+Tfc7k1ppyUAUxcnZ9e6DiIj0jN136P8wm+tuAz6cp+7P6tsrKZqWDEQiItIcHC87AfgtcBiwGlMv9Kf69kqKqJVXmYmISANzvOwCTNH0YcBTwOkKQ1IvCkQiIlJzjpf9PZACIzC7UL8+T93F9e2VFJkumYmISM04XtYf+AZmjziAm4Er89TdVr9eiSgQiYhIjTheNhyIAM8+dA3wNa0kk0agQCQiIlXneNkE4A7MPSi3AJfkqRvXtVMiZRSIRESkqhwvOxkThsZj7j/5rjx1H6pvr0QqqahaRESqxvGydwP3Y8LQE5iVZApD0nA0QyQiIn3O8TIH+CdMAbUD3AW8L0/ddfXsl0h3NEMkIiJ9yvGyAcB3gG9iwtD3gHcoDEkj0wyRiIj0GcfLRgG3Am8FcuBTwH9rJZk0OgUiERHpE46XTcJstjgV2ARcnKfu7XXtlEgPKRCJiEivOV52OuYGrQcBzwPvzFN3Tn17JdJzCkTAVcuOnxDFycp690NEpBk5XnYR8BNgP2Ae4OWpu6K+vRLZOwpEIiKyT+xKsquBa+1DvwX+Ok/dDfXrlci+0SozERHZa46XDQJ+QHsY+jbwboUhaVaaIRIRkb3ieNn+wK+Bc4BdwD/mqXt9fXsl0jsKREDiXrfC+dqaisfyq8c4deqOiEjDcrzsKMylsWOBDcD789T9XX17JdJ7CkQiItIjjpedCSTAWOA5TPF0VtdOifQR1RCJiMgeOV52MTADE4YexdyTTGFIWoZmiEREpFt2JdkXgC/Zh24DPpin7sa6dUqkChSIRESkS46XDQZuAj5gH/o68Lk8dXfVr1ci1aFAJCIinThedgBmNuhMYCfwd3nqfr++vRKpHgUiERGp4HjZsZiVZEcB64CL8tS9u769EqkuBSIREWnjeNk5wG+A0cBS4B156i6oZ59EakGrzEREBADHyy4F7sKEob9gVpIpDEkhaIZIRKTgHC/rB3wFuMY+9Evg0jx1N9evVyK1pRkiEZECc7xsCPAL2sPQV4CLFYakaDRDJCJSUI6XjQNuB04HtgMfzVP3R/XtlUh9KBCJiBSQ42VTMSvJJgJrgffkqTurvr0SqR9dMhMRKRjHy94KPIgJQ88AZygMSdEpEImIFIjjZVcAvwNGAvdjwtCi+vZKpP50yUxEpAAcL+sP/CfwSfvQTzA1Q1vr1yuRxqFAJCLS4hwvGwb8DHi3fehfgH/PUzevX69EGosCkYhIC3O8bDxwB3AysBWzv1BU316JNJ6mCERh4J8N3Nvh4XXAKGBEFCcbujlvEvAh4D+iONlWxS6KiDQMx8smAEcDA4EfAocCqwA/T90H6tk3kUbVbEXVE4D9bftAD46fBHwRGFTFPomINAzHyy4DlgH3AHdiwtCTmOJphSGRbjTFDFGZdaXZoDDwN5YeDAP/YOC7wDmYmaPPAMtpn1V6LQz8A6M4WWWPHwwMBobXsO8iIlXheJkDHAy8Cfg+4HQ45KI8dRfXvGMiTaTZAtGKMPBL73+17PFzMXtpfAJ4D3AjMBZ4J+ba+QRgddnx12BmjswXXXchYwfsgK8u6fgiIiLSMOw9xyYCU4Dj7dvS+6N2c+qB1e+dSHNrtkD0BmCTff/YssdnYFZP3AeMAYYB+wGl2qJ1UZyUr6a4FvgmcAhmKllEpGE4XjYQmEzn4HMcMKSb03ZhZsYndXh8J+YPRhHZjWYLRMvLLplNKnv834FjgPdiXkQiOk8Zt4niZCuwNQz8EdXrqojI7jleNhTzx13H2Z7JdP/6vA1YBCwEFti3C4FFeepusTVENwD9MWHoijx1V1RzHCKtoNkCUXdGY+7Fsxr4YNnjpQ3HTggD/+EoTnbWumMiIo6Xjabry1wT6f6Ptw2YGezy0LMAeDZP3R3dfa88dW9yvOxOTKh6RmFIpGdaJRD9K2ZWaC5mS3owl8PmAg8Df8S8OLxYl96JSMuzhc3j6Bx6pmAKnruzmsrQUwo+K/Z140QbghSERPZCUwSiKE5m0uGvqA6PzQemlX364rL3T69m30SkWDoUNnec9Rm9m1NX0nm2Z2Geuq9Us78i0jNNEYhERGqtQ2FzefDZU2HzEjrP9jyZp+76avdZRPadApGIFFpZYXPH2Z6j6Vlhc3lx86I8dbdUu88i0vcUiESkEMoKmzsGn0l0X9i8kc6hZyGwZHeFzSLSfBSIRKRllBU2d7Wia0+FzR1Dz0LgOd0RXqQYFIhEpOnYwubD6Tr4jN7NqR0LmxcCC1TYLCIKRCLSsGxh81F0Dj3HAkO7OW0X8CydV3SpsFlEuqVAJCJ116GwuTz47K6weTvwFJ1XdKmwWUT2mgKRiNRMh8Lm8stdk+hZYXN5nY8Km0WkzygQiUif6lDY3LHG55DdnLqG9rBTfrlrRZ66u6rZZxERBSIR2ScdCps7Bp/9d3PqSrpeyv6KVnSJSL0oEInIbpUVNncMPcfRfWFzTvuOzeWh58k8dddVu88iIntLgUhEAHC8bAjd79g8sJvTttO+Y3N58FmUp+7mavdZRKSvKBCJFIzjZaPoev+eSey+sPlJOi9lV2GziLQEBSKRFmQLmw+iMvSUgk9PC5vLZ31U2CwiLU2BSKSJdVHYXD7z09PC5vLgo8JmESkkBSLgqmXHT4jiZGW9+yHSnQ6FzeWhp6eFzeWhR4XNIiIdKBCJNJAOhc3lwUeFzSIiVaRAJFIHZYXNHYubj2DPhc0dg89iFTaLiPSOApFIlZQVNncVfMbv5tQ1dA49C4HnVNgsIlIdCkQivWQLmw+jc+iZAozZzanP0zn0LECFzSIiNadABCTudSucr61p+zi/ekx3lyykwBwvG4ApbO4Yeqaw+8LmZ+m8lF2FzSIiDUSBSKQDW9h8DJ03LuxpYXP55S4VNouINAEFIimsDoXN5Ze7dlfYvImu9+9Zkqfu9mr3WUREqkOBSFqaLWw+kM6zPXsqbF5Le9gpv9ylwmYRkRakQCQtoUNhc8fi5j0VNne1outlFTaLiBSHApE0lbLC5q52bB7WzWmlwuZOwUeFzSIiAgpE0qDKCps7zvYcw+4Lm5+m84ouFTaLiMhuKRBJXTleNpKu9+85kp4XNpeCjwqbRURknygQSdWVFTZ3DD7H0/PC5vLLXSpsFhGRPqVAJH3GBp/D6HpFV08KmzsGHxU2i4hITSgQyV6zhc1H0jn49LSwuTz0PJmn7qtV7rKIiMhuKRBJtxwv2w84ls6zPUcDg7o5rVTY3HFF11MqbBYRkUalQCTlhc1d7djcr5vTNgFP0nn/nsUqbBYRkWajQFQQHQqbOxY3H7qbU9fSebZnASpsFhGRFqJA1GLKCpu7Cj5jd3PqC3Se7VmACptFRKQAFIiaVFlhc1d7+PS0sLkUelTYLCIihaZA1OBsYfMxdA49x9B9YfMOYBGdV3QtylN3U7X7LCIi0mwUiBqELWw+js5L2XtS2NyxxkeFzSIiInuhTwNRGPjjgeuBs4FtwK3Ap6M42daLrzkJc5nnhChOHq/1+fvK8bIJmOXpT+epu6Ls8QPpeuPCnhQ2dww+y1XYLCIi0nt9FojCwHeA2zG/vE/H1LHcCqwHPt9X36e77x3FScMU/jpedhlwI2ZmJ3e87D6gPz0rbO5qRZcKm0VERKqoL2eITgZOBaZFcfI0QBj4HwOmhoF/DPBd4HXASuDKKE5mhoE/E9iKuSw0BrgOmAq8GxME3ln29a8NA//NmE3/Lo7iZFEY+DlwH/C6MPAPAabZ7zMJuBe4tKuOhoE/GBgMDO+z0Vt2ZqgUhsDcoPSsDoeVCpsrVnWpsFlERKQ+uqtN2RdH2beLSg9EcXJ3FCffAt4OzMLMkPwO+HbZeUOBt9rHrgX+DJyEWTr+t2XHPQycAKzpcP4T9ntvBxLg+4ALDAT+pZu+XgOsw9TfsGLdheRrT21rvXQ0e35eh2OC0hZgNbDc9kdERETqoC9niEpfq38Y+EOBZfbj5cBFwDeBK4D9gY1l5z0UxcnSMPDvsx//OIqTDWHgPw2MKzvutihOloeB/0Pge2WP/y6Kk+fDwD8Xcznq32zbj+5ngK61/TkEG4r60NPALipD0S7gl5hAOA2zQeIFtpW85HjZbGA28CgwO0/dF/q4byIiItKFvgxES+zbE4FHgOnAJcCHge9gQsHbgbcBn+vh13S6eCzv5vFScfH5wCr7/lbMpbEKUZxsBbaGgT+ih/3osTx1VzhedjlwA6ZuaCdwRZ66N0HbMnoXc3nxVOAUzGXCccA7bMMe+zxlAQl4NE/dl/q6zyIiIkXXl4HoIWAO8L/ARzCXgiZigspo4CnMzNDr9vHrXxQG/nrgQ5jLah3NxVxOuxz4ChAALwF/2sfvt8/y1L3J8bI7gcnAM+WrzPLU3YK5/Pdw6THHy4ZiguQptAelKcB44F22lY5dgQlHpaD0aJ66r1R7TCIiIq2szwJRFCd5GPjvwNT3zMLU8MwBLrOH/BATAmYCo8LAH7KX32ISkAGLgYu7+P7rwsD3gW9hwtc84AN7O46+YkPQij0eaI7dhAl5bUHP8bJhmFm28pmk44AJtvllxy6j80zSmj4YhoiISCE4eV7c1dxh4B8KrLh+4gLGDtjR/omvLunqklzdOV42AlNwXgpIp2J2rO7Ks7TPJM0G5mgVm4iItKrS73RgQhQnK/f2fO1U3UTy1H0Ns81AqQAdx8tG0R6SSkFpMmYrgyMwlw5Lxz5D5UzSnDx119eq/yIiIo1KgajJ5am7DnMZcmbpMcfL9qd9X6jSTNIRmKA0GfjrsmOfoj0gzQbm5qm7oTa9FxERaQwKRC0oT921wAzbAHC8bCwmHJUXbh8OHGtbqS4rd7zsSSpnkh7LU7d8qwQREZGWokBUEHnqrgbusg1ou69aKSCV3k6g/T5rH7SH7nK8bAGVM0nz8tTdXLMBiIiIVJECUYHZ5fp/sA0Ax8sOpvNMUum2KNNo3z18p+NlT1C5BUBmtxUQERFpKgpEUiFP3ReB39oGgONl46mcSToNOAizwaSL2XwTYIfjZfOpnEman6futpoNQEREZB8oEMke5an7PPA8cAeA42UOcCiVl9pOBQ7ArHg7CbM5J8A2G5LKZ5Iez1N3ey3HICIisjsKRLLX8tTNMXs9rMDcULcUkg6nMiCdAoyh/RLcFfZLbHW8bB6VM0kL8tQt2wxKRESkdhSIpE/YkLTMtt9AW0iaROeZpFGYW7iU38Zli+Nlj1E5k7QwT92dtRmBiIgUmQKRVI0NSc/aFkNbSDqKzjNJI4AzbCvZ5HjZXCq3AFikkCQiIn1NgUhqyoakZ2z7JYDjZf0wG0aWB6STgeHAG20r2VAWkkrtmTx1d9VqDCIi0noUiKTubJhZZNvPARwv64+5T1v5TNJJmJD0JttK1jteNofKmaTFNnyJiIjskQKRNCR7WWyhbT+FtpB0HJUzSScBI4GzbSt5tSwkldpShSQREemKApE0DRuSnrDtRwCOlw0AjqdyJulEYDRwrm0laxwvK80gld4uV0gSEREFImlqdql+ZtvNAI6XDQSm0h6QTsVsIDkGeIttJascLysPSLOBlQpJIiLFokAEXLXs+AlRnKysdz+kb9hNHx+z7QcAjpcNxtx6pHwLgBMwm0m+3baSl21IagtKdnNKERFpUQpEUgh56m7FhJtHS485XrYfJhSVzyRNxdyW5ELbSse+QOWlttl56r5Uq/6LiEh1KRBJYdkb0T5iGwCOlw3B1CCVzyQdj7nB7TttKx27ksqi7UftDXNFRKTJKBCJlMlTdzPwF9sAcLxsGDCdysLt4zD3czsUeHfZscupnEl6NE/d1TXqvoiI7CMFIiBxr1vhfG0N+dVjnHr3RRpPnrobgQdsA8DxshGYkFS+BcCxmPu5HQ68t+zYZ6ks2p6Tp+7aGnVfRER6QIFIZB/kqfsacL9tADheNgqzL1L5TNJk4AjbLio7djGVM0lz8tRdV6v+i4hIJQUikT5iA81M2wBwvGw05jYk5TNJR2Lu53YU8P6yYxdROZM01wYvERGpMgUikSrKU/dV4B7bAHC8bAwmGJXPJE3E3KrkGCAsne542VOUFW1jQtLGWvVfRKQoFIhEaixP3TXAH20DwPGyA6gMSKcAh2GKt48D/sYeusvxsoVUziTNy1N3U80GICLSghSIRBpAnrqrgDttA8DxsnG0h6TS2/GYvZKmApfYQ3c6XraAypmkeXZbARER6QEFIpEGZTd+/J1tADhedgiVM0mnAuMwG0yeAFxqD93heNnjVM4kzbcbVIqISAcKRCJNJE/dF4DUNhwvczCzRuWX2k4FDsRsCzAduMyevt3xsvlUziQ9nqfuttqNQESkMSkQiTQxexPalbbdDm0h6TA6zySNwax4Oxm43H6JbY6XzaNyC4AF9n5wIiKFoUAk0mJsSFpu223QFpIm0nkmaTRwmm0lW8pCUqk9mafujhoNQUSk5hSIRArAhqSltv0K2kLSkVQGpFOAkcDptpVsdrxsLpUzSU/lqbuzNiMQEakuBSKRgrIhabFtvwRwvKwfZsPI8kttJwPDgTfYVrKxLCSV2tN56u6q1RhERPqKApGItLFh5mnbImgLScdQOZN0MjAMONO2ktccL5tD5UzSYoUkEWl0CkQisls2zDxp208BHC/rj7mZbflM0nRgBHCWbSXrHC97lMotAJ61M1QiIg1BgUhE9pqtHVpg248BHC8bAEyhsnB7OjAKONe2krU2JJVvAbBMIUlE6kWBSET6hF2FNt+2mwEcLxuI2VW7fAsAF9gfON+2ktWOl5VfapsNrFBIEpFaUCASkaqx+xk9ZttNAI6XDQKmUTmT5AJjgbfZVvKKDUnlM0nPKySJSF9TIBKRmrI7Y8+x7UYAx8v2w9x6pHwmaRpmx+0LbCt5seNMUp66L9ZsACLSknodiMLAPxu4F/hDFCcXlD0+DlgBrIziZFJvv8++CgPfA+6I4sSpVx9EZPfsjWgfsQ0Ax8uGYGaOymeSpgIHA55tpWOfp3L5/6N56r7c8fs4XjYBOBqzPcCKao1HRJpPX84QnR8G/vgoTp63H/8N0L8Pv36PhIHvRHGi6XSRJpen7mbgIdsAcLxsKKZQu3wLgCmY+7m9y7bSsc9ReantOOCbQD9gl+Nll+epe1MtxiIija8vA9FfgA8CX7Mf/y1wHzApDPyDge8C5wDrgM9EcXJrGPi3YG4nMBjzl2AcxcmlYeAPB24B3g6sAf45ipOfhIF/jP06r8Pcu+nKKE5mhoE/ExiK2VDusjDwV9jzx2NeDCuEgT/Yfs/hfTh+EamyPHU3AQ/aBoDjZcNpD0mloHQs5n5uhwHv6eJL9QNudLzswTx1F1a52yLSBPoyEP0I+BTwtTDwT8a8EP0I+AfMcttngE9gXpxuDAM/tucdAbwTcwuBJAz8r9vjz8S8uL0F+I8w8H+FCUizMGHrk8C3MUEKIMfcj2kl5q/BecCFwGft1yh3DfDF0gcr1l3I2OsW6ZKaSBPKU3cD8CfbAHC8bCRwEu0B6U3AhA6n9gMWOF72FOYPp9Ilu7l2dkpECqRfH36tBBgfBv7pmMDyS2Cr/dwM4HDMjNGXMfuSDLWfmx3FyXx7DJgiygcwMzifBJ4Hjo7iZDPwB8zs0EPAlcAhZd///ihOlgBDMHUG34niZLk9p6NrbR+O692QRaQR5am7Pk/dWXnqfiNP3YuB1wPd7ZZ9LPAB4L8xrz2vOV72mONl33e87HLHy06y2weISAvry0C0BYiBjwIXYzdrs/4ds/X/e4GP2Me6m5FxojiZC0zG/MV3BfBwGPj9ge8AgzAzRV/o5mvs6vC2kyhOtkZxsh7YsOdhiUizswXUlwOlm9HuxLwWjQPegZkxToGXMLWPJ9rP34BZDfea42V/cbzsfxwvu8Txsin2liYi0iL6etn9j4GZwOIoTh60l84ARgNrgdWYOqPdCgP/W5i/6D6IeeH6KXCQ/TpPARsxM0WdRHGyPgz8DPhYGPgrqVyuKyIFlafuTY6X3Yn5Y+uZslVmv7MNx8sczKW108raqZgZ5dNtK3nN7rZdutQ2G1iqPZJEmlNfB6L7gaXATzo8/q+YG0XOxb7wUHm5q6MvAt/HFGpvAT4bxckLYeB/Bvgh8DAmeI0KA39IF+dfigln84B79mUgItJ6bAjqdrm9DTPP2fYbaLu57WRMMCqFpJMx920727aSVXaPpFJIekR7JIk0ByfPi/vHTBj4hwIrrp+4QEXVItJj9r5tx1M5i+QCXdUaraByFml2nrpra9RVkcIo/U4HJkRxsnJvz9dO1SIie8nety2zrXRLkv0woaj8ctsUzCW4CZQt/3e87BnKZpEwK9s21nAIItKBApGISB+wu20/bBsAjpeNwFxeK7/cdiTmEtxkILSH7nK87Akql/9n9jYnIlIDCkQiIlWSp+5rmL3TZpUec7xsLJUB6TRMTeUJtl1qD93meNk8Ki+3LcxTdyci0ucUiEREaihP3dXAnbYB4HjZeCoD0mnA/mXvl2x0vGwOlZfblmhlm0jvKRCJiNRZnrrPA7fbVlr+fySVAelkYBhm1+03lZ2+pmxl22zMyra9LigVKToFIhGRBmNnfBbb9gsAx8v6Y3bXLw9JJwJjgLfahj32BSpnkWbbmSkR6YYCkYhIE7C1Q0/YdguA42WDMCvbymuSpmJqkt5lG/bYJVQWbc+xNU4iggKRiEjTsqvQZtv2PQDHy4ZhbmxbPpM0GXMJ7kjgfaXTHS9bSOVMUmZXy4kUjgKRiEgLsfsZ/ck2ABwv2x84hcqQNAGzueTxmBtyA2x3vGw+lSFpgd13SaSlKRCJiLQ4uzP23bYB4HjZwVTutH0acACmePtkzI21ATY5XjaXsqJtzL3gur2BtkgzUiASESkge4+1O2wrrWybSOUs0imYe7a90baSdR3v2Qas0PJ/aWYKRCIiUlrZttS2GNpubHsslUXbJwGjgPNsK3nJ8bLyWaRH8tR9pUbdF+k1BSIREemSvSy20LafADheNhCYRuVM0jRgHODZhj12GZWzSI/mqbu+hkMQ6TEFIhER6bE8dbcDc227EcDxsiHAdCpD0rGYS3ATgYtK5zte9hSVIemxPHU3124EIl1TIBIRkV6xgebPtgHgeNko2le2lS65TcQEpWOBv7GH7nC87HEqQ9ITNniJ1IwCEXDVsuMnRPXuhIhIC8lTdx1wj20AOF52EJ1vbHsQZnZpOvBRe+gWx8seozIkLdLKNqkmBSIREamJPHVfBn5nW2ll2wQqA9KpmKLtM2wrWe942aNU7ra9TCvbpK8oEImISF3YMPOcbb+BtpVtk6kMSScBI4FzbCt5pePy/zx1X6rZAKSlKBCJiEjDsJfFFtn2MwDHywZgdtQuD0kucCBwgW3YY1fQ+ca2r9ZuBNKsFIhERKSh2VuHZLbdBOB42X7AiVQWbU/BXIKbALyndL7jZU9TGZLm5qm7qYZDkCagQCQiIk3H3oT2IdsAcLxsBOa2I+UzSUcAR9t2sT10l+NlT1AZkubbm+VKQSkQiYhIS8hT9zVglm0AOF52AJ1vbHsIcIJtH7aHbitb2VaqS3oyT92dteq/1JcCkYiItKw8dVcBd9oGgONlh9J5Zdv+wOtsK9ngeNkcKmeSntXKttakQCQiIoWSp+5KYCWQQNvy/yOpDEknA8OBN9tWstqubCu/Z9vzNeu8VI0CkYiIFJqd8Vls2y8AHC/rjynSLi/aPhEYC7zNNuyxz9N5ZduaGg5B+oACkYiISAe2duhx224GcLxsMKbuqHwm6XhgPPBu27DHLqEyJM3JU3dDDYcge0mBSEREpAfy1N2KuVQ2G/gugONlwzAbR5aHpMmYS3BHAu+3p+9yvGwhlUXb8+zXlAagQCQiIrKP8tTdCPzJNgAcL9ufynu2nYrZG2mqbR+yh253vCyjciZpod13SWpMgUhERKQP5am7FvijbQA4XnYInW9sOxazJcApwJX20E12ZVv5LUme0cq26lMgEhERqbI8dV8A7rCttLJtEpVF26cAI4AzbSt5teM924CVCkl9S4FIRESkxmyYeda2W6HtxrbHUjmLNB0YDZxvW8mLXdzYdlWNut+SFIhEREQagL2x7ULbfgzgeNkgTN1ReUiaBhwMeLZhj11K2dJ/4NE8ddfXbgTNTYFIRESkQdn7q8217UYAx8uGYmaOyou2j8VcgpsEBKXTHS97ispLbY/Z+8BJBwpEIiIiTSRP3U3Ag7YB4HjZKDrfs+1w4DjbPmgP3eF42Xwql/8/kafu9poNoEEpEImIiDS5PHXXAffYBoDjZQdRWbR9GnAQZt+kk4DL7aFbHC+bS+VM0tP2El5hKBCJiIi0oDx1XwZ+a1tpZdthdL6x7Ujg9baVrHe87FEqQ9LyVl7ZpkAkIiJSADbMLLft19C2sm0ylSHpJExIOse2klccL+t4z7aXajaAKlMgEhERKSh7WWyRbT8DcLxsAO0r20qX21zgQOBC27DHPkfnG9uuq+EQ+kxDBaIw8D8MXIOZ0nsK+BTweWB2FCef3oevNw2YDxwRxcnSPuyqiIhIS7K3Dpln2w8AHC/bDziRypmk4zC/rw8D3ls63/GyRVQu/59rC8FxvGwCcDSmRmlFjYbUIw0TiMLAPxn4PuBjnsRLgduBJXXsloiISOHZpfoP2QaA42UjgZOpLNo+AjjGtg/YQ3c6XvYEsA6zA7eDudnt5Xnq3lSzQexBwwQiTMLcCWRRnLwYBv43geeAzwEnh4H/BObmeN+I4uTfwsAfCPwXcAmwBvh/UZz8PAz8I4GfA1Mou9leuTDwBwODgeHVHpSIiEgrsps+zrQNAMfLDqDzPdsOxlxyK9cPuMHxsjsbZaaoX707UOb3mOWCC8LA/zHw5ihOfgqsAoZhZo6+AnwxDPyhwCeBczGbU30c+GEY+OOAbwObMVN7XQYizGW5dcCTANdPXNAQ/xgiIiLNLE/dVXnq/iFP3S/nqfsuYDxmMuNfuji8P6aguyE0TCCK4mRbFCdvB95jH7o9DPzYvn9/FCdPY0JTP0xh1zuAI4E5mC3OB2O2Mz8T+IGtGbqjm293LTAKc/1TREREqiBP3TxP3ZXALUDHfY12As/UvFPdaJhLZmHgnw+MjOLkN8BdYeB/C1OMtc6+LedgnthfYYquS14Ccjo/6RWiONkKbA0Df0QfdV9ERES6kafuCsfLLgduwMwM7QSuaJTLZdBAM0SYGqIfhoF/fhj4B2G2IN8JvNLN8Xdjlv4dipnt+QomKN0HXBYG/kTg3VXvtYiIiOyRLaCehNnbaFIjFVRDAwWiKE5uBr6MuXndc8AngL8BVnZzytcxxdMJtvYoipNNwD9hao7mAydUtdMiIiLSY3nqrshTd2YjzQyVOHnesrtw71EY+IcCK66fuICx1y1y6t0fERER2Tel3+nAhChOuptM6VbDzBCJiIiI1IsCkYiIiBSeApGIiIgUngKRiIiIFJ4CkYiIiBSeApGIiIgUngKRiIiIFJ4CkYiIiBSeApGIiIgUngKRiIiIFJ4CkYiIiBSeApGIiIgUngKRiIiIFJ4CkYiIiBSeApGIiIgUngIRcNWy4yfUuw8iIiJSPwpEIiIiUngKRCIiIlJ4CkQiIiJSeApEIiIiUngKRCIiIlJ4CkQiIiJSeApEIiIiUngKRCIiIlJ4CkQiIiJSeApEIiIiUngKRCIiIlJ4A+rdgQYxLgz8evdBRERE9t243pxc9EBUevIerWsvREREpK+MA1bu7UlFD0RzgVOAl6r4PYYDTwLHARuq+H2KTM9xden5rT49x9Wl57f6GuU5Hof53b7XnDzP+7gvUi4M/JHAOmBUFCfr692fVqTnuLr0/FafnuPq0vNbfa3wHKuouvq2Av9q30p16DmuLj2/1afnuLr0/FZf0z/HmiESERGRwtMMkYiIiBSeApGIiIgUXtFXmfVaGPgHARcDfwt8MIqTx8PAHwC8HfgQ8FQUJ//czbn/AlwF7AfcBlwexcm2mnS8iezrcxwGfj/gG8CHgbXANVGcRDXreJPo5vk9FfgeMBVYBHwsipMHujj3E8CngYHALcDVUZzoOnwHvXyOJwIftOeeFMWJVkl1sK/Pr32N+E/gUsABfglcFcXJzlr2vxn04jkeBnwbeD+wGfgJ8KlGfJ3QDFEvhIE/AliG+YeeXvapnwHfBM4EBndz7nTg3zC/rN8IvBu4pHq9bU69eY4x/3E/BJwLfAK4JQz8SVXqalPq6vm1vyR+A/wZmAzMA27u4typwHWYXybvxIT7C2vR72bSy+f4eGAh5vVhcm163Fx68/wCl2F+ft8GvAPzmvH+qne6yfTyOf4UcBbm99yFwN9hXi8ajgJR72wGJgJhh8f/KYqTYzB7MnSnlI6XAc9hKvN39HkPm19vnuPTgQeiOHk0ipPbgCXAW6vTzabV1fM7FPg58LUoTlYC99D1DrBvBp6O4uSuKE4eAh60j0ml3jzHy4BDgM9Uu5NNrDfP7yuY2YrZUZz8GXi5m+OKbp+f4yhO/i2Kk8lRnMwDXgR2Adur3+W9p0tmvRDFyQ7g5Y6zDlGcvNCDc+eFgX89JlXvAu4DflSNfjaz3jzHwLPAu8LAPxAYDRwAHNTXfWxmXT2/9pLM5wDspcmPAD/t4vQDqdyA7VX7mJTpzXMcxclGe0wtutqUevn8JqX3w8C/APML/dfV7XHz6eXrBPaYV4GRwM1RnPy+mv3dV5ohqpMw8E/G/AAFwHnAicBf17VTred7mNm3F4A7gEH2fem5G4CxwDU9PL7h6gKawN4+x7J39vj8hoHvAhHwj1GcLK9Vx1pIT36GpwN/BVwcBv65tejU3tIMUf2cDyyJ4uQ3AGHgzwAuwPynlD4Qxck64PQw8MdiflG/BMyvb6+aRxj4/wm8BTizm51nV2Fm3kpGAk/XoGstowfPsfRCT57fMPCPAu4EvhXFyY217F8r2NNzHAb+6wEnipMHgaVh4M/H1BTdU9ue7plmiGosDPz+9t0FwFFh4J9tCyffYB+TXip7jgkDfwhwOOZa98woTh6uW8eaSBj4nwMux8xgrg8Df7SdFi9/fu8DjgwD37OrTd4AzKxHf5tRD59j2Uc9eX7DwD8E+CPwe+C/7DHD69XnZtPDn+HzgV+GgT81DPwzgCns473Gqk2BqIbCwA+ARwGiOEmBr2OWeT4IzAD+u26daxHlz7H1SeAuzKUyXZLsuWuBUcBfMFsWrAXO7PAz/Djm+b0R8wvl+ihO7qxPd5vSHp9j6ZWePL+XA0dgVpqVjklr39Wm1ZPn+DrgbuABIAG+UV671Uh06w4REREpPM0QiYiISOEpEImIiEjhKRCJiIhI4SkQiYiISOEpEImIiEjhKRCJiIhI4SkQiYiISOEpEImIiEjhKRCJiIhI4SkQiYiISOEpEImIiEjhKRCJiIhI4SkQiYiISOEpEImIiEjhKRCJiIhI4f1/ieRgrHFi84oAAAAASUVORK5CYII=);} 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);} 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);} 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);} 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);} 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5sCGpS7yMiIoXp6h6igwLf2zKM4jn28deBtn6C7w78CGg1EOUEvrcncCvgAf8BTgIeDHxv6zCKFxXSaJGC1G4wvTsD+0D/Jv9rbahvfIdXq/U+TkONT27Ya1Bf6K1eHxGRrtLVgegl4BvA5fbxCcCzwITA9/oCVwPHA4uBH2Nmub0dIPC9lWEUDwl870TgQmAMptfpuDCKV+S9xlZAHZCEUTwv8L2rgA8AJ/C9icDdwM7Av7ryjUqVm7cKpi5peDxmMPTr3Y56n14bD3mp3kdEpOS6OhD9ETgHuNz25Gxl950N/AD4AqZHaFfgXmA8cCbwC2Bi4HsD7THnYiaF+wdwGnBV3ms8CjwFTAl87z7gT2EU/xkg8L07gDWYZQYC4PD8xgW+1x/oDwwp6ruW6lK7oXEYApjbzGTNH9X75A179VO9j4hIJejqQBQDvwl871PAccA9QK393hHAROAV+7g/JhitBtIwipcBBL73JPBzTJgajukp+kgYxeuAQwPfOxgzJPdg4Ht/C6PYB/YFzgyjeEbgew8Dv27SvguAi3IPapYdzqg+mnhXOubplbvyBX650f6DBr/GYUNfYfcB09l9wHRG9lnZ+IDVdqt05zc7sNdxl01T8hORitXVgWgtEGF6db5ktz3t9+qBvwI/yTt+PvCV3IPA97bGDKGdAzwM3AU0+qEa+N5BwLAwiu8Hngh877fAZFucndrXacmlmN6mMcDbBb1DqXrb959LL+qpJ39On5TN+izjGyOeYbM+y8vWNhERaZ9SzMp2J3AysDSM4hfy9j+JGcIai+n5+SUm7NQCgwPf2x4YZts4A9gM2KaZ828F/CHwvYMC3xsN7IWpKVqIqVc6JfC98Zgw1kgYxbVhFC/HLF4pUpBxfRdxy5Y30BtTJ+SQAg7hss+zw7s3cO2iI9iQagJEEZFKVoqf0s9hAs2fmuy/ElPwHGNrgMIoXm2/ngW8HEbxG8AkTKi6CZjJxkNmt2Nqjm7BFFN/H/h6GMWzge8BgzG32+9W9HcmYp0y8klm7Hg6T0/4CbN2PJXntrmA3QdMY2n9EL4z9zR2f+9qnlqpj6CISKVy0lTrNQa+NxaouW78FNUQSdHUpb34/ZKDuHD+11lUNwyALw97nklb3MH4fgvL3LoyUA2RiHSh3O9yYJztFOkQ9eOLdJHeTj1njHyCd7f/NmeO/Bu9qOOvyz/LzlOv45IFx7Kmvl+5mygiIpYCkUgXG9lnJddteSuvbvcDPj/oDdak/blowXHsPPU67l/2adRJKyJSfgpEIiWSGTCTp7f5CfdsdSXj+nzIzPWj+b8PzueLM37Om2u3KnfzRESqmgKRSAk5Dhw7/Hne3uFMfrLZvfR31vGPVR/n4+9dw/fnnszSusHlbqKISFVSIBIpg8G9avnF5nczZfuz8Ya+RB29uWbRUezw7vXctvgg6lPVH4uIlJICkUgZTew3nwfGX8bj4y9mp/4fsLBuBKfOOYtPTbuCl1bvUO7miYhUDQUikQpw8NDXSLb7Hr/Z4g8M7bWayWu25zPTruDEmu8wb/2IcjdPRKTH6+qlO7qVs2buUtDcBSLF0Bez4vE5brIFZt29k/649Av8cekXVgCXAL9Ls5l15WyjiEhPpR4ikQqTZjPz0mzmZODTwH+AoZiZ3RPHTQ4pa+NERHooBSKRCpVmMy9jQtHJwAJgR+Axx00edNxkYlkbJyLSw2jILE+cmVTjXL643M0QabDfOPPvhnqYtRzmrISUo3A4yvnWdNhqKPQuzt816XkjdWubiFQt9RCJdAd9esHEEbDn5jCiP6TABytg8nxYsBpNdy0i0jkKRCLdyaC+sOumsPMo6N8b1tXBO4shWQgrVW8tIlIoBSKR7sZxYNOBsNcWMH4Y9HJg+Tp4dQG8twTW15W7hSIi3Y4CkUh31duBrYfBXpubgAQwd5UZRpuzUsNoIiIdoEAk0t0N6GOG0Hbb1AypbaiH95eaHqNlteVunYhIt6BAJNJTjBgAe46GbUdAHwdWrTe1RW8vgtoN5W6diEhF0233Ij2J48CWQ2CzgTBjOcxbBQvXwKK15hb9cUNNzZGIiDRStEAU+N7+wNPA0DCKV9p9LvBwGMVOk2M/BM4FngGm2931wBzgxjCKf12sduW95iRg7zCK9y/2uUUqTt/esP0mMGawGT5bvg5mLof5q8zt+yMHmPAkIiJA5QyZ7QNsBpwF/Crwvd07c7LA9/STXgRgSD/IbAY7joR+vWBtHUxZBG9+CKvXm2NqN8DStThuMq68jRURKZ+SDJkFvjcQ+ANwBPAy0L/JISvCKF4c+N48+7jOPu/rwC+AkcBjwDfDKF4S+N7hwOXARGAycFwYxbMD30uBZ4FPBr43Bjgas0jmOmAusLYL36ZIZXIcGD3I9Ap9sAJmr4AltfDKfBjeH5Z+VHg903GT09Ns5rZyNldEpBy6IhDVBL7X9PxnAgcA+wGbA9kmz3nBPmcocGsYxf8LfG8X4A7geEzoeQCzwOWpwJHAJOBJ4B7gPOA79lxvAgEwGLgJ+BHwMPDnpg0NfK8/JpwNKfjdinQXfXrBNsNhi0EwbRksXpsfhsD0GN/suMnjaTZTU6ZWioiURVcEon2A1fbrLwC3AftiaoleBwh8b3mT53wZeBfYFbgv8L0Q2AOYEUbx3fY5twLftcc/BFyECUXDMb0/OY+EUTwn8D3PPr42jOL6wPdeAPZu8roX2PMAULPscEb10d040kNdNs0BcNykP+YPjasxfzjk6w1sBygQiUhV6YoaollhFM8Io3gGZoVuMCsv1bfynDn2OVngPeATwPomz3EAAt/rB/wVMzS2DyYcNVczlHvN1manuxQTqHZq4z2JdHuOmwx03ORszP9jt7BxGAIzXP1eSRsmIlIBSnXb/bPADwPfux7YEhjW5PtDA9/bBPgk5q/TBJgFXB343leAV4CTgMeBAXb7ADPc9THMMFlTL2OC0pmB7z2K6aVqVEMURnEtUBv43tBivEmRSrSybgA3LTkEzB2dm9vdczFD0GuBazE9Q3XAGRouE5FqVKq7zG7E3GL/L+CHNPQc5bwALMYUXv8qjOLHwiieApyIKYp+DXgHOD+M4uXAOcDPgRhzq/6Ypi8YRvE84HTgQsx0AE2H6UR6tKV1g/nlAp/x797CD+edBCYMzQK+DUxMs5mr02zmRmACpsZvggqqRaRaOanWOyLwvbFAzXXjp6iGSLq9DzcM5ZpFR3LtoiNYXm9GxbbrN4f31m15MvDnNJtZX94WiogUX+53OTAujOLZHX2+ZqoW6SHmrt+E33z4JW5cfCir0wEAfKz/TC7c7K8cO/x5el/+3u1lbqKISMVSIBLp5mat25QrPjya3y/5IrVpPwD2HPA+Pxl9L18a+m96OeoFFhFpiwKRSDf1Xu0WXPbh//HHJQewwf6v/JmBb/PT0fdy6JBXtDKHiEgHKBCJdDNT1o7j1wu/TLhsP+rpDcAXBif8ZLN72X/wGwpCIiIFUCAS6SZeXbMNv1roc9/yfT7ad/iQyVw4OmKfQe+UsWUiIt2fApFIhXtp9Q78cqHP31Z84qN9xwx7kQs3i9hz4LQytkxEpOdQIBKpQGkK/1y1K79c6POPVR8HoBd1fHX4v/jxZn/lYwM+KHMLRUR6FgWiPGfN3KWguQtEisVxEwc4BPgJ8Fm7ewNwZz29L7vrrrOnwtlla5+ISE+lQCRSARw36QUchQlCe9ndtZjFka9Is5mZ5WqbiEg1UCASKSPHTXoDPmaJmV3t7tXATcBv0mxmTrnaJiJSTRSI8sSZSTXO5YvL3QypBvUpLFwNA/vAGrtcTG8HthwCWw4ZRL/ePwB+UIzPY3reSN2ILyLSBgUikVKqT2H+KvhgBdTWmX19esHYITBmCPQt1XrLIiKST4FIpBTq6mHeKqhZAevqzb6+vWDcUNhisAlFIiJSNgpEIl1pQz3MXQmzV8J6G4T69W4IQr01miUiUgkUiES6wvp6mLMC5qyEDXZx1QE2CG0+GHopCImIVBIFIpFiWldneoPmroQ6G4QG9oGthsLoQWihMRGRyqRAJFIMtXWmPmjeKlM4DTC4rwlCmw5UEBIRqXAKRCKdsXaDuWNs/iqwOYghfWHrYTBygIKQiEg3UZRAFPjeHcCYMIoPsY+fB94No/gk+/gD4Nowiq/Ie84QYAVwQBjFz+Tt7wNcARwHDAOeBb4VRvH0Jq95FnBuGMUTivEeRDpk9XrTIzR/dcO+Yf1MEBrRX0FIRKSbKVYP0QvArwEC3xsEfAIYax+PBsYBz7fzXN8BvoxZz2kJcDUQAp8uUltFOqZ2g5k8cWAfUyD9wXJYuKbh+yP6myA0vH/52igiIp1SzEA0KvC9bYDtgVnAFoHvTQA+BqwDJge+tylwF/AZ4JkWzrUVJgi9E0bx2sD3vo9d5DLwvUOBG4HBwJTcEwLfewZYBkwExgO/DaP4p4HvDQBuBb4EvA6MAa4Jo/i6Ir1v6enmrYKpS5r/3sgBJggN7VfaNomISNEVaza4N4GlwN7A/sDjwL+AA+y+/4ZRXAtcjOkt2guIWjjX74ChwLTA964EhoZRHAa+NxD4k33eJ4BFTZ43Fjga+DHwYzskdyZwqG3HhZhA9JHA9/oHvjcMGFLg+5aerHZD82FokwGwx2j42KYKQyIiPURReojCKE4D33sZE372AyYBMzHhaBSmBwlgX+DuMIqnBr43t4VzTQ98bxfgK0AAvB743g8wtUSbYnp/Zge+9zQNq4IDPBNG8Xu2t6iXfd39gAfDKP4vQOB7C5u83AXARbkHNcsOZ1SfDQVeBelpnl65K1/glxvtv7D3nfys9l76ra/wz8pl01TIJCLSTsVcL+AF4PPAnsDTdtsfE1py9UMpUN/aSQLfOwnYLYziP4ZRfChwHnAJDffwtPr8PI49trXjLwWGAzu185xSRbbvP5dezXx8fvXhsWz97q1cNP+rzFm/SRlaJiIixVbsQPQp4I0wipcA/8XcJbYFDT1EzwLHBb63HfB/LZxnf+DGwPd2C3xvS2BnYB7wDrAA+G7ge+OBA9vRpueALwW+t0fge/sDm+V/M4zi2jCKlwMr2/0upWqM67uIW7a8gd6YRVh7U8dRQ19iTJ/FzN+wCZcs/Crj37mVr35wDv9atTNp2sYJRUSkYhUzEL0E1AH/AAijuB4TgKaFUTzfHnMJMBt4FTgKWNvMec4EJgNPAVMxvTdBGMVrgW9ghtL+A/RuR5tuBP4O/NO+9jpgfQHvTarUKSOfZMaOp/P0hJ8wY8fTeXD8Zczc8TTu2epK9h00hQ304Z5l+7Hf9EvZ8/2ruG3xQayuV12RiEh346Q9+M/awPe2AI4BHgJ2Ax4G9gmj+N9NjhsL1Fw3fopqiKRDXluzDdcvPoy7ln6eNam57X6T3is4ZZMn+fbIR9mm34LyNU41RCJSRXK/y4FxYRTP7ujzi9lDVIl6AYcB7wK3YCZy/HfrTxFpv90HTufWsTdQs+MpXLnF7UzoO58ldUOZ9OHRbPvuTRw188c8sWJ36lNlExGRStajl+4Io3gOcGS52yE938g+Kzl30wf5/qiHeXTFnly7+AieWLkHD6/4JA+v+CQ79JvNWaMe4YQRTzGs95q2TygiIiXV03uIREqqt1OPO2wyj0/4OW9v/22+M+phhvZazbvrxvKduacx9p0/cOac03lr7bhyN1VERPIoEIl0kR37z+G3Y25j9o4nc/2Ym9m5/wesrB/IDYsPZ5f3ruOg6T8nXv4p6lL9bygiUm76SSzSxYb2Xsu3Rz3Km9udzZMTfoY39CV6Ucc/Vn2co2ddwMR3b+LyhUfz4Yah5W6qiEjVUiASKRHHgQOHJDww/jKm7fBNzt/0r4zqvZxZ60dz/vwTGPfObZxccxavrJlY7qaKiFQdBSKRMhjfbyGXbvFnPtjxVG4f+zv2HPA+tWk/bl96EHu9fxX7vH8Zdy/9HOvqe/R9DyIiFUM/bfOcNXOXguYuECnUQOBE4CQ3cYBPA2cB/otrdur7Ys1OfI0fzAduBm5Os5k55WupiEjPph4ikQqQZjNpms28mGYzXwO2Bn4GzAE2t1/PdNzkHsdN9nVMeBIRkSJSIBKpMGk2My/NZn4BTMAsVfMcpjf3WPv1q46bnOq4yaDytVJEpGfRkFmeODOpxrl8cbmbIRUgPW9k2Xth0mxmPXAvcK/jJrtj1vn7GvBx4FbgCsdNbgNuTLOZaWVrqIhID6AeIpFuIM1mXkuzmdOAccAPgenAJsC5wHuOmzzkuMnBjpvo/2kRkQLoh6dIN5JmM4vTbGYSsD1mWZrHASfv67ccNznbcZNhZWymiEi3o0Ak0g2l2Uxdms1k02zmUGBH4HfACmAH+/Vsx02ud9xkl3K2U0Sku1AgEunm0mzm3TSb+S4wFvg2MAUYYr9+03GTfzhu4jluoppBEZEWKBCJ9BBpNrMizWZuBHYFDgQeAOqBL9iv33fc5HzHTTYtYzNFRCqSApFID2PnNHoqzWaOASYClwGLMPMbXQrUOG5yu+Mme5WznSIilUSBSKQHS7OZmWk2cwHm7rSTgFeA/pgJsic7bvKC4ybHOW7Sr4zNFBEpu6LWFAS+tz/wtH2YAjXAjcCLdv/QMIpXFvM1O9C2D4Fzwyi+oxyvL1JOaTazFrjDcZM/Ap/CLBFyLPAZu13luImWCBGRqtVVRZbjgNXAZ4H7gW900euISAek2UwKvAS85LjJucBpwDeBLTFLhPzYcZP7gWuB59NsJnXcZBzmNv+paTZTU6ami4h0qa4KRMtsT1A28L3XgJ/Y/ZvYnpqTwyi+O/C9XwDHAQ8BO4RRfETge6cDF4ZRPD7wvX2AfwIjMT+QbwF2Bl4HTg+j+I3A9zbFzNp7MGbtp/PDKL4v8L2BwB+AI4CXMcMEImKl2cw84BeOm1wGHI3pNdoP03N0LPC64yavYf6g6QXUO25yeprN3FamJouIdJkurSEKfG97zBwpt9pdS4As8CX7+EjgLuBJYJ/A9xxMgNkq8L0Mpofp38Aa4EHgeUwgmgE8YI+/FtgMc2fN9cDdge9ti1nm4ADMD/graSYQBb7XP/C9YZhblEWqUprNrE+zmXvTbOZzwO7A7zH/z30cOIGGnxO9gJttj5GISI/SVT1ENTasDMGsxfR23vfuBP4c+N52mB+4XwFmA4OBvYDPA3djwtInMGEpgxmGuzKM4prA964AXsXcNXME8O0wiqcD1wS+dxGwr90eDqP4dYDA95Y3084LgIs+avSywxnVZ0NxroBUjsumlX1dsu4izWZeB05z3OQ84JfAt5oc0hu43XGTG4HH02xmVanbKCLSFbqqh2gfYDdgUBjFAbAu73uPArXAVcDkMIrfscNrLwMXYoLOncBR9jxPAuvtc+vtv/m/4Nbn7c//Xtpkf3MuBYYDO7X7nYlUgTSbWQz8mub/HzoIuA9Y6LjJA46bfMNxk01K2kARkSLrqh6iWS3dTRZG8frA9/6CqVf4ft63ngQuBs4BnsEMjTmYAlAHmAmcG/je1fZ574RRPDPwvceBbwa+9wLgAgPt80cCPwx873pMwehGazuFUVwL1Aa+N7Szb1ikp0mzmRrHTU4Hbsb0DNUBVwD9gGOAbQDPbhscN3kacxPFg2k2M7ccbRYRKVS55iG6H/PD9S95+/5u/82GUbwOs1Dls2EUr7eP/w8zDPYOpkfHt8d/FzPp3P+AHwBfD6N4JuZ2/2eAf2FWB1/QlW9IpCeyBdQTMPV4E9Js5sdpNnMusC2m3ugS4A3MH1dfxPx/N9txk+cdNznHcZOJZWm4iEgHOWmalvQFA98bh+mK3zSM4sNL+uItCHxvLFBz3fgpqiHqiVRD1OUcN9kec6faMZh5jvK9jvkj6H7gTXvrv4hIUeV+lwPjwiie3dHnl2Oxx99j/rr0yvDaItIF0mxmKmY47QrHTcZi/v8+BnOTxMft9nPgPTvP0QPAv9Nspq06PxGRkih5IAqj+NBSv6aIlE6azczGTIFxveMmozB3jB6DmStsO+BHdpvjuMkDmJ6jZ9NsRt2zIlI25eghEpEqkWYzi4A7MMuGDAEOw4SjIzA3O5xpt8WOmzyE6Tn6e5rNrClPi0WkWikQiUhJpNnMSiACIsdN+gMHYsLRl4BNMQvOngisctzkEUzP0SNpNtPcHGIiIkWlQCQiJZdmM7XAI8Ajjpt8EzMr/TGYwuytMHeR+sA6x02exPQcPZhmMwvL1GQR6eEUiESkrGzt0D+Bfzpu8j3MjPXH2G1H4HC73ey4yXOYnqM4zWZmlafFItITKRCJSMWwt+RPttuPHTfZmYaeo9zSPp8Hfuu4yWRMz9H9aTbzdgunFBFpl5LPQ1SJOjt3gYh0PcdNxmOC0dGYRZvz55d6C9Nz9ADwiuY6Eqk+3XEeIhGRDkuzmZnANcA1jptsjlnv8BhMcfbOmLUQLwRm5d3O/3yazdSVp8Ui0p0oEIlIt5NmM/OBW4FbHTcZjrmN/xjMbf1bY5b0+S5mAdoY03P0lC3mFhHZiAJRnjgzqca5fHG5m9El0vNGavkK6ZHSbGYZcDdwt+MmAzETQB6DmRByM+A0uy133ORvmJ6jx+w0ACIigAKRiPQgdkLHB4EHHTfpiynAPgazlMgYILDbWsdNnsCEo4fTbKZn/iUkIu2mQCQiPVKazawHngSedNzkLMyis0cD/wdMxNQgHQXUOW7yDA23888pT4tFpJwUiESkx7OLyL4IvOi4yXnAbjTczp/BFGYfiFl/7SXsHWtpNvNemZosIiWmQCQiVcXekp/Y7WLHTbaj4Xb+zwCfttsVjpv8DxOO7gf+p9v5RXouBSIRqWq2F+hK4ErHTbbE1BsdDRyA6UnaDbgImOa4SS4cvWx7nUSkh1AgEhGxbP3QDcANjpuMxNypdjRwCKbu6Fy7zbW3898P/NPWK4lIN6ZAJCLSDHvn2R+BPzpuMgQ4FBOOXMwda9+y2xLHTR7GhKMn7J1uItLNFCUQBb63M3A95i6ORcDNYRT/qhjnbua1RgDfA24Io3hB4HvPYG6tBVgG/As4OYziBU2e5wIPh1Gs+XhEpEPsnEV/Bf7quEl/4AuYcORh5jo63m6rHTd5FBOO/mbnSBKRbqBXZ08Q+N5g4AngA+BjmB8K5wW+d0pnz92CEZjx/NF5+64DNgH2BsYDP+6i1xaRKpdmM7VpNvNoms2cjukp+jxmSZFZwCDMbf13YWbJftRxk9McN/no55XjJuMcNznAcZNxZWi+iLSgGD1ER2B+KJwdRvFyYEbge5cAmwS+l2J+MBwBzAUuwYSVCcD1YRRfABD43kWYafZrgUlhFP8m8L07MOGmP+a22Ai4AJhuX/d/ge99wn5dG0bx0sD31gNrgTp73r2BO4AtMatni4gUjV0n7VngWcdNfgDsiek5OgazvtqhdrvZcZN/AbOBYzF/jNY7bnJ6ms3cVpbGi0gjne4hArYD5tswBEAYxZMw3csArwMfx4Yd4GuY8HNe4HubBb73FeBMzOrV/wdcEvjeHva52wBn2OecCIyy5wLYB3jVfn1W4HtLMUNmY4FL7f477OvvDrzbtOGB7/UPfG8YMKTQNy8iAuZ2/jSb+W+azfwkzWZ2wQSiH2P+GHMwP+O+SsPP3V6YoKSeIpEKUIweorZqch4No3hW4HuvA0PCKP5f4Hsr7PNGY3qPRgDP2+MHYv7KAphsj8/1Cm0KzLRfrwijuC7wPYA7gV9jgs0twKTA976HGcI7w77+Y5jgle8CzPAbADXLDmdUnw3tfuPdyvk0P3/KZdNUUyVSRI6bDAL2wtRU7kHj4f2memP+qKwpQdNEpBXFCEQzgNGB7w3L9RIFvncWbQcl7DH1wAuYHqCcRZi/ppo7vjnLwyieYV/7AeAke17y/m3OpcBVmCG/t9vRXhGRjzhu0hvTE/Qp4JP2310xQSdfiuml3oHGP8fqAM2GLVIBihGIssBi4CpbO7QN8Cvgh+18/pPAHzCTn72L6WL+USvH19p/dw58b6r9ur+9+2wkZvw+CaN4eeB7CfDtwPdmA4c1PVEYxbVAbeB7Q9vZVhGpYo6bjKUh+HwKcyNHc0Puc4CXgX/bfyen2cwKx01OAW7GBKY64Iw0m1HvkEgF6HQgCqN4WeB7h2Du9HoHWABcgbnzrD3uwnQZ34z5wXI78GErrzc38L2HMfOD5G63P8tuK4DngHPs/pMww2mvA0+1/12JSLVz3GQoDUNfuRA0tplDVwH/oSH8/LulkJNmM7c5bvI45mfeewpDIpXDSVMtzRP43lig5rrxU3puDVFLVEMkguMmfTA1h/nhZxc2vvGkHngDE3xyPUBT7N1mIlJGud/lwLgwimd39PmaqVpEqorjJg6wFY2HvvbCzCHU1Ac0Hvr6b5rNrCpRU0WkhBSIRKRHc9xkOKbWJxd+Pgls0cyhy9l46GtuqdopIuWlQCQiPYbjJn0xN2jkD33txMZ3qG4AEhrCz8vAO1rBXqR6KRCJSLdkh74m0Dj87AkMaObwGTSu+3lFi7CKSD4FIhHpFhw32QT4BI2HvjZr5tCl5A17YYa+FjRznIjIRxSIRKTiOG7SD7NMT37vzw7NHLoeeI3GQ1/vaehLRDpKgUhEysoOfW1L4/CzB9CvmcPfp/HQ12tpNrO2RE0VkR5MgSjPWTN3KWjuAhFpP8dNNmXjoa+RzRy6iI2HvhaVqp0iUl0UiESkyzhuMgDYnca9P9s2c2gt8CqNh76mpdmMZo4VkZJQIBKRonDcpBewPY3Dz8eBvs0c/g6Ne39eT7OZdSVqqojIRhSI8sSZSTXO5YvL3QwA0vNGakkNqWiOm4ym8WzPnwBGNHPoQhrX/fwnzWaWlKiZIiLtokAkIm1y3GQQptA5v/dnQjOHrgX+S+PlLmZq6EtEKp0CkYg0Yoe+dqJx+MkAvZscmgJv0bju5400m1lfutaKiBSHApFIlXPcZAyNw88ngKHNHDqPxkNfk9NsZlmp2iki0pUUiESqiOMmgzEru+ff8r5VM4euBibTeOirRkNfItJTKRCJ9FCOm/QGdqFx78+uQK8mh9YDb9J46GtKms1sKF1rRUTKS4FIpIdw3GQcjcPP3sDgZg6toXH4+W+azawsVTtFRCqRApFIN+S4yVBM4Mkf+tqymUNXAv8hb+grzWbmlKqdIiLdRVECUeB7dwBjwig+xD5+Hng3jOKT7OMPgGvDKL4i7zlDgBXAAWEUP5O3vw9wBXAcMAx4FvhWGMXTA99LgSPDKM4Wo90i3YHjJn0wQ135vT+7AE3nqqoD/kfjup+302ymrnStFRHpnorVQ/QC8GuAwPcGYe5SGWsfjwbGAc+381zfAb4MHAIsAa4GQuDTRWqrSEWwQ1zbA1PTbKbG7nOArWkcfvYCBjZzipk0Hvp6Nc1mVpWg6SIiPU4xA9GowPe2wfyAnwVsEfjeBOBjwDpgcuB7mwJ3AZ8BnmnhXFthgtA7YRSvDXzv+8Bn875/fOB7v8cUgp4aRvEjge/NwASuT2MWiTw/jOKbA98bBdwJ7Af8E9gX+IZ6mKTcHDc5BbgFU+Bc77jJg5j/Hz8JbN7MU5az8UKn80rUXBGRHq9YgehNYCmmpmEP4HHMAo4HYP7a/W8YxbWB7/0G01u0Fya8HNnMuX4HfAmYFvjeXcAdYRSHed9fBOwDXAb8FHjE7h8OHAh8C/gFcDNwMbAd5pfMzoCb/0KB7/UH+gNDCn7nIh1ke4ZyYQj779F5h2wAXqfx0Ne7aTZTX8p2iohUk6IEojCK08D3XsYEov2ASZju/P2BUZgeJDA9NHeHUTw18L25LZxreuB7uwBfAQLg9cD3fhBG8e/sIX8Lo3ha4HvPAufkPfWxMIpnBL73HPAju28/4E9hFL8NvB34XtOXuwC4KPegZtnhjOpTIXcan0/j+V4um6a1zXqO7dn41neA6zE9qK+l2cya0jZJRKS6NfdDuVAvAJ8H9gSettv+mN6gXP1QihnqalHgeycBu4VR/Mcwig8FzgMuaeHwtkJCfRuvdymmZ2mnNs4jUkwDmtlXB1yWZjMvKgyJiJReMW+7fwH4OWZ4bEnge//F3CU2goYeomeB4wLfi2hcF5Rvf+BMG4wWYYa6Cq2VeA74RuB7f8XcpdNIGMW1QG3ge80tUyBSdHadsJ/Zhykm1NcBZ+QKq0VEpPSK2UP0EuYH+z8AwiiuxwSgaWEUz7fHXALMBl4FjsKsjN3UmZglA54CpmJ6b4IC23QJMB2z+vbJdp8WnpRy+gamfm4l5m7MA4AJaTZzW1lbJSJS5Zw07blLEwW+l1ux+wngMOAmYJswimc3OW4sUHPd+CmVU0PUlGqIuj3HTYYD7wKjgR+l2cyVZW6SiEiPkftdDoxr+nu+PXr6TNUOpmfoZsxFOqGQiyRSJBdjwtA7wG/L2xQREcnXowNRGMVvYQq9RcrKcZNdgbPtw++k2cy6crZHREQaK2YNkYg0w84+fS3QG7g/zWaeKHOTRESkCQUika53LObuybXAD8rbFBERaY4CkUgXctxkCGaiUoBfp9nMzHK2R0REmqdAJNK1foxZrmY6oLvKREQqlAKRSBdx3GQH4Fz78HtpNtPcvFsiIlIBevRdZh111sxdCpq7QKQpW0j9W6Av8CjwcHlbJCIirVEPkUjXOBI4FFgHfDfNZnruDKgiIj2AApFIkTluMhC4xj78TZrNTC1jc0REpB00ZJYnzkyqcS5f3CXnTs8bqaU3qse5wDaY2dF/Vea2iIhIO6iHSKSIHDeZgLmzDODcNJtZVcbmiIhIOykQiRTXb4ABwDPAveVtioiItJcCkUiROG5yMHAMUAecrUJqEZHuQ4FIpAgcN+kH/M4+vDbNZt4oZ3tERKRjFIhEiuO7wI7AAuDi8jZFREQ6SoFIpJMcN9kS+Jl9+KM0m1lWzvaIiEjHKRCJdN4VwBDgReBPZW6LiIgUoOTzEAW+dzJwAbAV8A5wDvAhcHAYxVeUuj0ineG4yeeArwEpcFaazdSXuUkiIlKAkvYQBb63J3Ar8ANgAvAX4EHgQOBHpWyLSGc5bjIe+IN9eEuazbxSzvaIiEjhSt1DtBXmluQkjOJ5ge9dBXyAHWYIfG8lsCswHdgtjOI3At+bBOwdRvH+ge99GrgB2AH4N3BCGMUf2F6nnwGbAPcBZ9jXuQw4FbOe1K1hFP+0hO9VejDHTU7BhPvcDORTytgcERHppFLXED0KPAVMCXzvTuBzwD3AmcBiYGxLTwx8rz8m7PwN2BkTeK4IfC8D3AycDeyDWVDzZOA04CTgYOCrwDmB73296TkD3xuGqf8QaRfHTcYBt9AQhgCusvtFRKQbKmkPURjF64BDA987GPg6Zrjsb3ZLwyheFvjeJi08fSdgS+C6MIrnB753HKZH6DDgvTCKHwYIfO+zQC1wE/BgGMWT7f4nMENzf8475wXARbkHNcsOZ1SfDcV5s5dN09plPdf2bPzHRG/gWcdN7sZ8ridrYkYRke6jpIEo8L2DgGFhFN8PPBH43m+BycDzeYe195fIYqC525tr7DnWA/kFrs0FlEuBq4AxwNvtfF2RqZjPVtNQtA1wod1mO27yEBADz6TZzLqStlBERDrESdPS/REb+N5JwNXAl4EE8DA1QScAvwcywGxgOabw+u/AHcAa4BBMbdFtmN6fGzC/lC4G/mvP9S7wOHCNfc4vMD1Ig4HHgFPCKP5LM+0aC9RcN36KeoikXWwN0c2YnqE64PuYkO5hhm3zh2GXA49geo4e1TxFIiLFl/tdDowLo3h2R59f0hqiMIpvx4SUWzDF1N/HDJ09CcwCXg6jeDXwE+ASzFDaCvvcWkyQcoH3ML9wvhVG8evAN4HrgFcxdUo3YILTnZggFANXNxeGRAqRZjO3Ye6UPACYkGYz16bZzF1pNuMDmwFHYD7n84FhmDq2EFjouMnjjpt8WzVHIiKVo6Q9RJVKPUTSVRw36QV8EvgSpvdopyaHTMYE9geBN1V3JCJSmM72EJV8YkaRamInanzJbhc4brIjJhx9CfgMsLfdfgm877jJg5hw9HyazdSVp9UiItVHgUikhNJs5h3MUh9XOG6yOXAkJhx9EdgWUzv3A+BDx02ymN6jv6fZzOrytFhEpDooEImUSZrNzMfcTPB7x02GYObM8jB1cpsCJ9ptjeMmT2B6jrJpNrOwHO0VEenJFIhEKkCazawE7gfud9ykD7AfDXVH42kYZqt33OR5TDh6MM1m3itPi0VEehYFIpEKk2YzG4CngacdN/k+ZjqKXDjaAxOW9gMmOW7yJg1F2f/V4rIiIoVRIBKpYPaus9ftdoldUPYoTEDaH/iY3fIng3wQeFqTQYqItJ8CkUg3kmYzM4FrgWsdN9kEOBwTjg7DrAX4Lbstd9zkUUzvkSaDFBFpgwJRnrNm7lLQ3AUi5ZBmM0uAu4C7HDcZgJkk0sP0IG0BfMVu6x03eRrTc/RQms3UlKfFIiKVS4FIpAdIs5m1mFnaH3Xc5FtsPBnkwXa73nGTyZhwFKPJIEVEAAUikR6nmckgd6AhHOVPBvkLYJrjJjGaDFJEqpwCUZ44M6nGuXxxl5w7PW+klvKQskizmXeBK4Erm5kMciIbTwb5IPCEJoMUkWqiQCRSRVqYDPJLmJDUdDLIv2OG1TQZpIj0eApEIlWqmckg98UMq30JmIApzj4KTQYpIlVAgUhEcpNBPgM8087JIHNF2ZoMUkR6BAUiEWmkmckgt8b0FHnA52mYDPLHwBzHTR5Ek0GKSDenQCQirUqzmVnAdcB1zUwGuSUbTwb5IPCIJoMUke5EgUhE2q3JZJD9gS/QsPBs08kgn8EMq2kySBGpeApEIlKQNJuppWEyyG8Dn6ChKHtnzG39X6TxZJAPAm9oMkgRqTRdEogC39sfs1o3wAZgFvDrMIpva3LcxYAbRvHeTfbfAZzQ5LRHh1Ecd0FzRaSTbGH1y3Zrz2SQuaLsF2xBt4hIWfXq4vOPw3SjXw3cGvjeyNw3At9ra6LCh4BN8ra/dVUjRaS40mzm3TSbuTLNZj4LjAFOBbJALWYyyO8D/wTmOW5yu+MmnuMmg3LPd9xknOMmBzhuMq4c7ReR6tPVQ2bLwiheGfjeQmA9cFLgez8GpgEfAEnuwMD3bsVMEvdpu2t9GMVL808W+N4OwI2YdZpmA98Mo/iZwPe2AG4F9rfn/bbdvzNwO7AbMBk4IYziGV30XkWkGXYyyNuA25pMBukCo9h4MsjFwPGYP9jqHTc5Pc1mbmvm1CIiRdPVPUQ1ge+tBP4C/BxYBAwDfob5AQhA4HvnAz5weBjFc+3uowLfW2q3V+y+QzF/Ve4MPAL8zu6/DugL7ILphg/t/vuAZ+3x7wPX5Dcu8L3+ge8NA4YU5+2KSGvSbGZlms3cn2YzJ2DuUDuJhj+MBmJu7z+Rhp9NvYCb1VMkIl2tq3uI9gHWAAcANwFnYnqNHgUIfA9gB+DXwHfDKH4z77lPAt+2X6+3/z4GXAWcgRlGW2X3H4jpLfog8L1fAPcGvjcRE4TGAacD/TCBLN8FwEW5BzXLDmdUnyKWM1w2TeuXSVVz3GQ4sC1mmKzpNp72/QzqDWwH6E41EekyXR2IZoVRvBKYHvjetZgQ09QgTC/ODwLfuyOM4hV2/+pmhrduAOoxPUWHAOc3c761wNuY2iUwXe+v2a+bruR9KSZgjbHPEZEOsEt+bEXzgWciMLLlZwOwDpiOGUafhvmj5adA/h8TdYCWCxGRLtXVgWh44Hv9MLUCA4GVzRzzGmait9cwQ1qntHK+EcA7mJ6hT+btfwpTn/QC8A3Myt2bA1MxxZxnAp/DBJ8rck8Ko7gWqA18b2hH35hItShCL88CGgLPNMzwde7rOU2X/nDcZBZwM6ZnqA44Q/MYiUhX6+pAVIPp0ZkFfBPz1+BGwiheHfjeCcBzge891Mr5fgj8Afg3Zt2l4YHvDQTOxhRVv4Uptj4yjOK6wPeOwRRhv4X5K/TEIrwnkR6lC3p58gPPdLuIbLul2cxtjps8jhkme09hSERKwUlTzY8W+N5YoOa68VNUQyQ9kuMmI2g58BS9l0dEpNRyv8uBcWEUz+7o8zVTtUgPUORenvywU1Avj4hId6NAJNJNFLmXp2noUS+PiFQ1BSKRCtFGL8+2NH+XZj718oiIFEiBSKSEWunl2RbTy9O7jVOol0dEpAsoEIkUURF7eZqGHfXyiIh0IQUikQ4qYi9Pc6FHvTwiImWgQCTSRCu9PLnJCdXLIyLSwygQ5Tlr5i4FzV0g3U8LvTy5wNPeXp7mAo96eUREuiEFIumRitDLU0vj2ZfVyyMi0oMpEEm3pV4eEREpFgWiPHFmUo1z+eJOnyc9b6SW7CiCFnp58hcZVS+PiIgUhQKRlFUzvTz5gac9vTzzaT7wqJdHRETaTYFIupR6eUREpDtQIJJOUy+PiIh0dwpE0qZmennyA496eUREpNtTIBJgo16epoGnM7087wNz1csjIiKVTIGoSqiXR0REpGUKRD1IXi9P07CjXh4REZFWFC0QBb63FTADuCSM4p+3ctz+wNPA0DCKVzb53j7AVUAGWAhcHUbxNYHvXQy4YRTvXaz2dkdNenmaCz2F9vK8j+nlWdU1LRcREalsxewhOgFYDxwf+N4lYRSnHXly4Ht9gIeBGwEP2AN4IPC9t4vYxrJy3GQcsD0wNc1malo4ZgTF7+XJzcasXh4REZFmFDMQHQ/8AvgpsB/wbOB7xwBXAlsAzwDfyDv+z4HvfQH4D3AcZoXwTYApYRTPAx4NfO/LwAfAp4FNAt97AtgH08N0NPB14Nf23C7wJnBEGMWLA9/7BnCZfa3XgdHl7GFy3OQU4BagF1DvuMnVwLsUp5cnF3jUyyMiIlKAogSiwPc+i/ll/ntgb0xv0bOYAHAT8CfgduB04CX7tIeAc4D7gZ+HUfzNwPcuAe4MfO8E4G7gL2EU1wa+52OCwsW2zU8DB9rzbAb8xX7vReCrge/FwK2YcPZX247m2t0f6A8MKcJlaJHtGcqFIey/57TylHXAq8B7NA486uURERHpAsXqIToBeCaM4vmB790D3BL43tnAI8AxwDLglDCK37I1RAD3hlG8MvC9EPgqQBjFFwe+91fgROBS4PzA9/azx08Lo/gFgMD3lmB6nQCWhVH8kN0/HROQPgk4wG/CKK4PfO95TA9SUxcAF+Ue1Cw7nFF9NhR+FS6b1tIaZtvTEIbaox8mWG4F7ATMAebmNsdN8h/PT7OZTjRaREREOh2IAt8bABwLDAp8byUmiAwCjgmj+PjA9z4DHAY8H/jet4F5TU6RAk7gezsCh4ZR/FvgXFtIPRUzLNaclsKHA9TbrS2XYoq4xwBdWas01bYnPxTVAz8BBtrX39L+OwYYjakV2tJue7Vy7tRxkwXkBSaaBCj7eF6azawr3lsSERHpOYrRQ3Q0JgB9AsjVr1wBnBz43u+B72KGyw4CDgBCe0wQ+N4/ML1DL2ICwqTA9+oww1wTgcGYADWig236DyYYfS/wvQcwNU0bCaO4FqgNfG9oB8/fIWk2U+O4yenAzZigUweckWYztzV3vL2bbDQNAalpYMo93sKeb3O77d5aOxw3WUTzYSn/8dw0m1lT+LsVERHpfooRiE4Angij+PXcjsD3bgdi4CTgQuBqYDJwObA1sBbYH/gN8F/gIjvcdiTwS2ASsAi4FriHvGGt9gijeG7ge6digtk5mMLs9QW/wyJIs5nbHDd5HNgOeK+lu8zssRswQWVOa+d03KQXsCnNh6UxTbZ+wCi77dbGeZfSem9TLjhpMkYREekRnDTt0N3x3Ubge98CngPWYHqlJodR/O0Wjh0L1Fw3fkpX1RCVleMmDjCS1nubcl8P7MCpV9I4MLUUnpan2UzP/KCJiEhFyP0uB8aFUTy7o8/vyTNVjwKexAzn/R1zx1lVsmFkkd3eaOk4G5yG0TggtRSehthtB7u1Zo3jJq32NtltsYKTiIiUQ48NRGEU/xIz/CbtZMPIMru91dqxjpsMoe3epjGY+q+BNMyz1Jp1Nji11eP0oaYeEBGRYuqxgUi6lq0fmmq3FjlukruLrq3wNApT5zTebq3Z4LjJPNq+s25Bms3UFfD2RESkyigQSZeyd6zlJpVskeMm/TF3zbUUmHJfb4b53I6zW2vq86YkaG24bl6azZS16F5ERMpLgUgqQprN1AIz7dYix036YqYkaGuobgvMvE9b2G2PNs67kPbN5bS2oDcoIiIVTYFIuhXbkzPbbi1y3KQ3pjepreG6LYC+9tjNgEwb511C++Zy0ppyIiLdiAKR9Ei2dmie3V5t6Tg7l9NI2ndnXX/MmnqbAB9r7fUdN1lOO+ZyAlbozjoRkfJTIMpz1sxdCpq7QLove7fah3ZLWjrOTkkwgraLw7fETPUwzG47ttGE1U3WpmspQC1VcBIR6ToKRCLtYMPIErtNaek4G5yG0r4764ZhwtN2dmtNbTvnclqkKQlERDpOgUikiGxwWm63d1o71nGTwWy8xEpzQ3ebYIbrJtitNeubTEnQUoBaqCkJREQaKBDliTOTapzLF7d6THreyIpcnkO6H1t4/Z7dWuS4yQBM8Xdbd9ZthikQ38puramzUxK0tfTKfLu2nohIj6ZAJFLh7K3+M+zWIsdN+gGb0/ZQ3Wigd97jVl8+b0qCtuZyqu3wmxMRqRAKRCI9RJrNrAM+sFuLHDfpgwlFrfU2bYnpleptjx0NfLyN8y6i5cD00dd2sk4RkYqiQCRSZewQ2By7tchOSbAp7Vuzrh9m+ZVRwK5tnHcZbReHz7HLw4iIlIQCkYg0y96ttsBur7d0nL2zbiTtu7NuIDDcbju39vqOm6ykfXM5LdOUBCLSWQpEItIpNowsstsbLR1ng9Mw2jcJ5hC7bW+31qxtYy6n3NeLFZxEpCUKRCJSEjaMLLPbW60d67jJENo3VDcCGABMtFtr1tkpCdoarluouZxEqo8CkYhUHFs/NNVuLXLcZCDtG6obhalz2tpurdnguMl82h6uW6ApCUR6ji4JRIHvTQCmA7uFUdxiF3re8UOBawEXMwHdo8C3wiheFPjeicCcMIqf6Iq2ikj3Ze9Ym2a3Fjlu0h9z11xbk2Buhvm5ONZuram3UxK0NVw3394BKCIVrFJ6iH4F7AbsA6TA7cD1wFeBE4HJgAKRiBTEzpE0024tctykL2aKgbaG6rYAemHmfdoc2KON835I28Xhc+2cU61y3GQcpq5qaprN1LR1vIi0T1cHov0D33sS+DewP/A88CBwIab7+pthFD+AmVV3AfB+GMV1ge+dBmwX+N5jwOeBzwe+NwCzAKcbRvHeAIHvfQicG0bxHYHvXQicielhuiWM4gtsz9MNmJ6nZcCPwii+t4vfs4h0U2k2sx6YbbcWOW7SG9Ob1NZw3RaY2cM3tdtubZx3Ca3XN30W+CUmjNU7bnJ6ms3cVsBbFZEmStFDtAlwDfAT4GXAAT4HXAD8AngA00P0CPBO4Ht/Bu4Io/jhwPeeAh4HXgV+BJzX3AsEvufa833R7vpH4HvP2Me7AnsDhwB3Br73WBjFy+3z+mMC1JDivmUR6cnsOnDz7PZqS8fZuZxG0r476/pjfl5uAuzSjmb0Am523ORx9RSJdF4pAtGKMIqfAgh8bz6QDaN4euB7LwBHA4RRPDnwve2Ar9vtgsD3jguj+L7A9zYAtWEUrwl8r6XXOBB4LoziF+3r7IG5Bfgy4C9hFL8f+N7NwAtA/lj+BcBFuQc1yw5nVJ+8GsnLpmndMhEpmL1b7UO7JQCOmwwFxmMW6h2ft30c2LGDL9Eb2A5QIBLppHLXEDkAge99D3g0jOIbgBsC37sW+ClwX5Pj2zuHyHSg0UredijubSB/vaVLgaswf5293eHWi4jksXMtjWLjsJO/bdKOU62moeYpt60AfovpGcqpo43FgUWkfcodiHKOBg4JfO87mMAyEdMVjX28deB7IzFj6BMD39sZU1Q4zB7zFHBa4HufAdYCzwDH2/1fDXwvAvYFfo/pnv4QIIziWqDW1hqJiLTKDoGNofXAM6gdp1rCxoEnf/uwuUkkHTdZA9yM6RmqA87QcJlIcVRKIPoKcDXwH8xfP88D37Lf+xNwI6bH6CIgsMf9C1gMYOuNLgfuxywNcHUYxQ8Gvvc0pqjxFcxfV18Oo/jDUr0pEeleHDfpB4yj5cCzFaZIui3zaCXwpNnM8kLal2Yztzlu8jhmmOw9hSGR4nHSVDPZB743Fqi5bvwU1RCJ9GCOmwzGTMw4geYDz5bYofxW1GFqdloKPLPac/u8iBRX7nc5MC6M4lbvFG1OpfQQiYh0iq3fGUHzBcu5bdN2nCp/zqKm2wxgjmaoFul5FIhEpFuw9Tujab1+pz31gMtpPfAs0CKwItVHgUhEKoLjJrklMybQfNjZGjNXT1sW0nLYmZlmM0uL23IR6QkUiESkJOxCrFvTcu/OWMzdU61JMbNItxR4ZqXZzOouaL6I9HAKRCJSFI6bDKP1+p3N23Ga9cAsWujdAWrs8hoiIkWlQCQibbIFy5vSeuAZ0Y5TraLlsDMTmGdndxYRKSkFIhHJLVba1oSDA9txqsW0HngWq2BZRCqRAlGes2buUtDcBSKVzk44uBWtTzjYnp8Hc2k57MxKs5kVRW66iEhJKBCJ9AB2wsHWhrPG0PaEgxtoPOHgDBqHnw/SbKa2xWeLiHRjCkQiFc7W72xC64FnVDtOtZaWw85MzISDdS0+W0SkB1MgyhNnJtU4ly/eaH963kgt4SFdxk44uDmtB54h7TjVMloPPAtVvyMi0jwFIpEu5rhJX9qecLBfO061gJbDzsw0m1lW5KaLiFQNBSKRTmoy4eAEmp9wsFcbp6mnYcLBGTS/YOia4rdeRERAgUikTY6bDKf14azR7TjNOsyEgzNofpbl2ZpwUESkfBSIpKrZguXNaD3wDG/HqVbSctiZCczXhIMiIpVLgUh6NDvh4Ja0Xr/TngkHF9F64FmigmURke5LgUi6NcdN+mMmFWyph2ccbX/OU2AOLYedmWk2s6oLmi8iIhVCgUgqmuMmQ2gINxPYOPCMacdp1gMf0HLg+SDNZtYVu+0iItJ9FC0QBb63P/C0fbgBU0D66zCKb2vm2IsBN4zivVs5Xz/gUuAbmFuSnwbODqO4plhtlvKy9Tsjab1+Z2Q7TrWaVnp3gLmacFBERFrTFT1E4zAz4gbArYHvPRBG8UezHQa+195JDi8HjgaOAuYDNwEhsF9xmyuFctxkHLA9MDXNZjYKqnbCwS1oPfAMbsdLLaHlsDMDWKT6HRER6YyuCETLwiheGfjeQsxQhRP43onAb4BpmKGLJHdw4Hu3AgcDnw6jeK7d1wc4BbggjOKX7L4LgfMC3xsIPArUAttgehAmAR8DvgRMAY7E/KKdjglSPrAC+GoYxS93wXuuOo6bnALcgplfp95xkzswvYJNFwxtz4SD82i9fmd5sdsvIiKSrysCUY0NNIOBC8MoXhT4HsAw4GfA88APAALfOx8TVj6bC0PWaGAo8G5uRxjFk+2x2PMNwgSp4zFDa2cCFwPPAicAf7VPnQ/sDvwZOAc4NnfOwPf6A/1p37IIYtmeoVwYwv57cguH19F4wdDmJhxc26UNFhERaUNXBKJ9gDXAAcBNge9Fdv+yMIofhY8CzQ7Ar4HvhlH8ZpNztGdY7eUwimcEvvesfXyn7ZmailkXKuevYRTXBL43GdiryTkuAC7KPahZdjij+mzY+JXOp+XhmMumVeM6Z9vT8szL64G7gTuB9zALhjZzUUVERCpHW8sJFGJWGMXTwyj+A+aX4x4tHDcI05vzg8D3hjb53gJMqNo+tyPwvd0D37vdDpm1paWQ0nT/pZhJ93ZqxzmlwVTMUhPN6YvpobsX+ClwkOMm7Rk2ExERKZuuCETDA98bGfje8ZgJ795o4bjXgMMxoema/G+EUbwe08NwTuB7ewe+tw0mvOwYRnHR1nMKo7g2jOLlmFmGpZ1sAfXpmOEw7L9nAIcCv8dMYjgKOBVT7zXfcZM7HDc50nGTAWVosoiISKu6IhDVAAuBnwPfDKN4SksHhlG8GtObcELge19q8u3vA48DTwCvYO5cOxapCGk2cxvmzrEDgAlpNnNLms08nmYzp2HuLDsQuBFTwzUC89/5IWCB4yZ3OW5ytOMmg8rSeBERkSacNNXdyoHvjQVqrhs/pfkaotZUZw1Ru9mlM/YBvgz8H2bl95zVwN8wBfCPpNmMeupERKQgud/lwLgwimd39PmaqVq6lJ0Q8TngOcdNvg98ChOMvoy5Nd+321rHTR7DhKNsms0sK1OTRUSkCikQScnY1d5fBF503OSHmLv+vmy3bQHPbuscN/k7Jhw9lGYzi5s9oYiISJEoEElZ2JmlJwOTHTe5AMjQEI52Ao6w2wbHTZ7ChKM4zWYWlqnJIiLSgykQSdnZcPS63X7quMkuNISj3TATcB4M3OS4yT8x4eiBNJuZ28IpRUREOkSBSCpOms1MAS4BLnHcZAcaao72xNzVdgBwneMmz2PC0f1pNvNBudorIiLdnwKRVLQ0m3kXMwfVpY6bbENDOPoUsK/drnHc5CXgPuC+NJuZXq72iohI96RAJN2GDTqTgEmOm2wFHIMJR58FPm23Kx03+S+m5+i+NJuZWq72iohI96FAlOesmbsUNHeBlJ4dIvst8FvHTcYAR2PC0ecxd6/thelVSmgIRy1OEioiItVNgUi6PVtcfQNwg+Mmo4EvYcLRgZi71zKYeqS3MOHor8D/bDG3iIiIApH0LGk2swC4FbjVcZORwFGYcHQwsDNmwdmfAu85bpILR68oHImIVDcFojxxZlKNc3nDHIDpeSO1LEc3Zid0vAO4w3GT4cCRmKLsw4DtgPPtNsNxk/sw4ejfdgJJERGpIgpEUhXsUiB/Bv7suMlQ4HBMODoCs0jtOXabnReOXrBLj4iISA+nQCRVJ81mVgD3APc4bjIIOBQTjo7ELD77HbvNc9zkAUw4ejbNZjq48q+IiHQXCkRS1dJsZjVwP3C/4yYDgC9iao6OArYAvmW3Dx03iTHh6Kk0m1lfnhaLiEhXUCASsdJsZi3wMPCw4yb9gC9gwpEHbAqcarcljps8iJkI8u9pNlNbnhaLiEixKBCJNCPNZtYBjwGPOW7yTcz8Rl/GzHe0OXCi3ZY7bvIwpufo8TSbWVOWBouISKcoEIm0wdYO/QP4h+MmZ2Fmxv4yZqbsscDX7LbKcZO/YcLRo2k2s7JMTRYRkQ5SIBLpAHvX2bPAs46bfA+zptqX7bY1cKzd1jpu8igmHGXTbGZ5eVosIiLtUTGBKPC9k4ELgK2AdzC3QH8IHBxG8RXlbJtIc+x8RS8CLzpuci5muZBcONoWM7x2NLDOcZMnMOHooTSbWVKmJouISAsqIhAFvrcnZnZhD/gPcBLwIPAz4EeAApFUNDvT9WRgsuMmF2CWC8mFo50A124bHDf5ByYcxWk286HjJuOA7YGpaTZTU5Y3ICJS5SoiEGF6heqAJIzieYHvXQV8APwJIPC9lWEUDwl872DgGszQxL+A08Io/iDwvRnA85jVzkcC54dRfHPge8OAWzDzy3wAnBVG8ZOlfWtSbWw4et1uP3XcZBcawtFuwCF2u8lxk3cxgckB6h03OT3NZm4rT8tFRKpXr3I3wHoUeAqYEvjencDnMBPnnQksBsYGvrcp5jbnO4Bdgf7A7XnnGI5ZzPMW4Bd23+WYO4J2xqyMHga+91EIDHyvvw1NQ7rsnUnVS7OZKWk2c0mazWSAHYEfA68AvTGfzdwSMb2Am22PkYiIlFBFBKIwiteFUXwopt4CzHDZ3cBqIA2jeBkmJPUDfhNG8QxMwPlcXsB5zO5/DtjM7jsCU/SaYMLRpsD4vJe+AFgGvA3gJeeOS88b6eS2rnivUt3SbObdNJu5NM1m9gIua+aQ3ph11kREpIQqYsgs8L2DgGFhFN8PPBH43m8x9RjP5x22HkjtBuav6l55j5tTD/wOuClv3+y8ry8FrgLGYEORSFdz3KQ3Joz/qJlv1wHvlbZFIiJSET1EmBqiPwS+d1Dge6Mxd+vUAQuBwYHvbY+5m2cd8P3A98YD3waeDKO4tcU3n8TcAj0MGIcp0v5oPaowimvDKF4OaL4YKQnHTbYAHscM6/bCfK5zn+E64AwVVouIlF5FBKIwim/H/IK4BVP8/H3g65hAMwt4OYziDzFFqSdjenMc4LQ2Tv1D4CXMvDH3As+FUdxaj5JIl3Hc5IuYQusDMcPBJ2EmeZwAHABMUEG1iEh5OGmqfBD43ligBhgXRvHsto4X6QjHTfoAP8cMkznAG8CxaTbzVlkbJiLSg3T2d3lF1BCJ9FSOm2yFuUFgX7vrFuB7WvNMRKSyKBCJdBHHTY7ETBMxElgBnJZmM/eUtVEiItIsBSKRInPcpB/mlvrv213/Bb6aZjO6e0xEpEIpEIkUkeMmEzGTiu5td10DnJ9mM7Vla5SIiLRJgUikSBw38YHfY6Z5WAKclGYzD5a3VSIi0h4KRCKd5LjJQMwEn9+0u14AgjSbmVW+VomISEdUxDxEIt2V4yY7Yea6yoWhS4H9FYZERLoX9RCJFMhxk+OBG4DBwALgG2k280R5WyUiIoVQIBLpIMdNhgDXASfYXU8BX0+zmbnla5WIiHSGhsxEOsBxkwzwH0wYqsesj3ewwpCISPemHqI8cWZSjXP5YtLzRjrlbotUFsdNHOB04LdAf2AOpnD62bI2TEREikKBSKQNjpsMxyy5cazd9QhwYprNLCxfq0REpJg0ZCbSCsdN9gZewYShDcC5wJEKQyIiPYt6iESaYYfIvgtcAfQFZmCW33i5nO0SEZGuoUAk0oTjJqOAPwBH2V33Aaem2czSsjVKRES6lIbMRPI4bvJZ4DVMGFoHnAn4CkMiIj2beohEAMdNegHnAb8AegPvAl9Js5nXytkuEREpDQUiqXqOm2wO/An4ot11F/CtNJtZUb5WiYhIKRUtEAW+txWm8PSSMIp/XuA5UuDIMIqzTfZvCVwPHICZDO+vmILXTwFPA0PDKF5ZeOulWjluciDwZ2ALYDVwFnBHms2kZW2YiIiUVDF7iE4A1gPHB753SRjFxfyFchPmTp+PA8OBCLgIeKyIryFVwnGTccCOgIsJ1g7wBmaIbEo52yYiIuVRzEB0PKb+4qfAfsCzge8dA1yJ+ev7GeAbQAb4O/AQcDDwb+C4MIrn584T+N7vMT1Bp4ZR/AiwFfDvMIpnAgS+93VgaN5rX2tfawbgASkwHROkfGAF8NUwinXLdJVz3OQUzCSL+TcU3Ap8L81mVpenVSIiUm5Fucss8L3PAhOB3wOP0rDo5S1ACOwJbIJZ+gBMELsP2AsYC+QPsS0C9gH+hQlXAD8Bvhb43uuB7/0QmBlG8VN5z3kOM3w2IO81AOYDuwMzgXOaaXf/wPeGAUM6/Kal23DcpI/jJp9x3ORKzGc0/3NfD1yiMCQiUt2Kddv9CcAztpfnHsAPfG8QZomDYzC3MJ8SRvFlec95KIzid4E7gU/n7f9bGMXTgGcxPUuEUfw3YFtMses3gKk2hOXcG0bx28D/cs+x/hpGcQ0wGdismXZfACwD3gbwknPHaR2z7s9xE8dxk50cNznLcZMYE7JfwMwy3VQvYLtStk9ERCpPpwNR4HsDMMsafC7wvZXAbZjhrGPCKD4eOMU+fj7wva+20IaWQogT+N6gwPfOBZwwiq/A1BH9E/hhS8/pwP5LMTVJO7XwHOkmHDfZ3HGT4xw3uR2YBbwFXAt8CRgGLAH+hhlOzVcHvFfKtoqISOUpRg3R0cAg4BPAKrvvCuBkWwv0XeB24CDMXWKhPcYLfO9l4GuYO8Vashb4NrBr4HsXAf2ALTG9Pp0SRnEtUBv43tA2D5aK4rjJYOBzmM/VF4HdmhxSixl2fRJTs/Zams3U2RqimzFzDdUBZ6TZTE3JGi4iIhWpGIHoBOCJMIpfz+0IfO92IAZOAi4ErsYEmMuBre1hPnAjpqj64pZOHkZxfeB7h9pzvIm5k+3vwI8xBdpSBRw36QPsjQlAB2HqzPo2OexVzGfjSeBfaTazpul50mzmNsdNHscMk72nMCQiIgBOmpZ2upXA9/anwuYOCnxvLFADjAujeHa52yMfLa66Pab3J9e7OLzJYTMxAejvwNNagV5EpHp19ne5ZqqWiuG4yWjgQBpC0FZNDlkK/APTA/Qk8L4mUBQRkWIoeSAKo/gZWi58liriuMkgGuqADsIUzOdbBzxPwzDYK2k2U1fSRoqISFVQD5GUjOMmvTFzT+V6gPbBFMnne42GQuh/aX4gEREpBQUi6TK2Dmg7Gu4EOwAY0eSwWTT0AP1DdUAiIlIOCkRSVI6bbIapA8oNg41vcsgy4CkaQtB7qgMSEZFyUyCSTrF1QPvSMAy2e5ND1mPqgHLDYK+k2cyGUrZRRESkLQpE0iG2DmhPGobBPsvGdUAJDT1Az6XZzCpEREQqmAKRtMrWAU2koQfoC5iFevPV0DAf0FNpNjO/pI0UERHpJAUi2YjjJptigk8uBE1ocshyTB1Qbj6gd1UHJCIi3ZkCkeC4yUBMHVBuGGyPJoesB16kYRhssuqARESkJ1EgqkK2Dmh3GnqA9gX6NznsfzT0AD2bZjMVscyKiIhIV1AgqhKOm0ykoQfoC8DIJofMpvF8QPNK20IREZHyUSDqoRw3GYUJPrkQtE2TQ1ZgFtnNhaB3VAckIiLVSoGoh3DcZAANdUAHYW6Nz18zbgOmDig3DPZv1QGJiIgYCkTdlOMmvdi4DmhAk8PepKEH6Nk0m1lRyjaKiIh0FwpE3YjjJtvQ0AN0IDCqySFzaOgBejLNZuaWtoUiIiLdkwJRBXPcZCQNdUAHAds2OWQlpg4oF4LeUh2QiIhIxykQVRBbB7QPDcNge9G4DqgOeImGdcH+nWYz60vdThERkZ6mpIEo8L2dgeuBTwGLgJvDKP5V4Hu5Xo0UWAj8Bfh+GMX19ntHhlGc7eBrnQhMCqN406K9gSKzdUAfp6EHaD9gYJPDptDQA/TPNJtZXtJGioiIVIGSBaLA9wYDT2CWfDgZsxzEQ4Hv5ea7+ar9/s72mKeBuFTt6yqOm4wDtgemptlMjeMm42noAToQaBrY5tHQA/SPNJuZXcr2ioiIVKNS9hAdAYwBzg6jeDkwI/C9S2hYKHRVGMVLAt+bixkaqmt6gsD3zgHOxayufi/wvTCKawPfOwKYBIzDhIkTmzzvQuCHwGfDKH6zK95ccxw3OQW4BegFpI6bLARGNzlsFfAMDSFoiuqARERESstJ09L87g1878fAmWEUj23meykmGNQBQ4Enwyg+OO97R2LW03oIE6wWAY9ght9uBd4HzsEEihj4G/AOJiSdDdwOHBZG8dNNXrc/ZsmKMcDbwLgwiovSI2N7hmZiwlBLVgPPAh8Cy+y2NO/r5h6vVmASERFpLPC9sUANBf4uL2UPkdPG97+DGSrbGngg8L0Twyi+I+/7RwDPhVH8JEDge/dghpz+B/QKo/hmu/8woC+wPyZc/QG4vmkYsi4ALso9uG78lJp2tLO9tqf1MAQwCDi0g+fd4LhJfkBqT4hqtC/NZtZ28DVFRER6tFIGohnA6MD3htkhMwLfO4uGALIgjOIZmKG0l4BPAnfkPX89UJ/3uKXgMj/ve/2wNUuB710dRnFNk2MvBa6ioYeomKZi2psfiuowIW4tMDxvG9HOx70w/81GsfEcRO3muMk6Ohiimj7W3W0iItKTlDIQZYHFwFW2dmgb4FeY2h6AwYHvjQB2AD4NPNzk+Y8DZwa+d4A9z5eBa4GXgTTwvTOAxzC1RS8Ar2OG1r6IqdG5I/C9L4ZR/NFwUxjFtUBt4HtDi/1mbQH16cDNQG9MGDojzWb+Wcj5HDdxgMF0PETlb8MwYbEfppapaT1TR9qzhvb1TjV9nNu3PM1mNqoTExERKYeSBaIwipcFvncIcB2mvmcBcEUYxbcEvncz5lZ7aLjt/vdNnv9E4Hs/Af6E+cUeAleFUbwu8L0AuAK4BhO8fgb8n31evb0FP8EMy/22K99nvjSbuc1xk8eB7YD30mymaQ9VR86VYiZiXIlZmb7D7G3+Q+lYiGq6b4g93UC7bVFIW2x7VlJA71TetiLNZuoRERHppJIVVVeyXCHWdeOnMGrSu8WqIeqRHDfpgwmkhQz55bamcy0VKgWWU2Atld1WqUhdRKT7605F1dIDpNnMBsyQ5eJCz+G4ST/a7olq+rjpvn6Y4b/c40LVFVCk3vTxWoUqEZHuTYFISi7NZtZhhkYXFnoOu8zJCDoerPIf97bbSLsVar3jJkvpXJH6uk68voiIdJICkXRLduqAeXbrMFukPojCC9RH0FCk3hfYzG4FcdxkLYXXUi3FFKlvKPT1RUSqnQKRVCU7xLXKbnMKOYctUh9C4QXqI2goUh+AKVDvTJH6KgqvpVqKitRFpIopEIkUyIaH5Xb7oJBzOG7Sm8ZF6iPoeG/VIHu6wXbbspC2YJaXWUHnitRXqp5KRLojBSKRMrJzMS2xW0EcN+lL5wrUR9BQpD7MblsV2Jw6x01au/OvPUFrjUKViJSaApFIN2dnDf/QbgWxReqdKVAfjvl50huzYPMmhbYFszzNUgqrpcoVqdd24vVFpAopEOU5a+Yu48JyN0KkDGyR+lrM0jcdZovUB1J4gfpwTM9UbnmaTe1WEMdNaimsd+qjxypSF6kuCkQi0ml2iGu13QotUncwReYjKKxAfThmJnaA/sDmdiuI4yar6XyRupanEekmFIhEpCLYULXCbp0pUs8tTzOCwnqrckXqg+w2ppC22PZ0pEi96eNlmFCleiqRElAgEpEew/bILLXbzELOYYvUc3f+jaCw3qr+9nRD7TaukLYA9UUoUl+tUCXSNgUiEZE8tkh9kd0K4rhJfwob8st/3AdTUzXCboXaUMDyNE3rqdZ24vVFugUFIhGRIrN3uS2wW4flFal3ZjqF4TQUqY+yW0EcN1lH4bVUuVC1vtDXFykFBSIRkQrTpEh9biHnyCtSL7RAPXfnH5h5qkbbrSCOm6yh8FqqpZjlaVSkLl1GgUhEpAdqUqReU8g57PI0Q+ncdAqD7ekG2q0zy9OspPBaqlyRupankWYpEImISLNseMiFiYI4btIH09M0gsJ7qwbY0w2x29gCm5O2UaTe9HFz+1apSL1nUiASEZEuYye4XGy3gjhu0o/CC9Rz+/pilqfJ7StUXQFF6k0fr1WoqjwKRCIiUtHSbGYdsNBuHWbrqfKXpxlBYb1VvTDL04y0W6HWt2N5mraK1Nd14vWlGRUViALf2xa4AdgXc8vrNWEUXxX43u7AwWEUXxH43gRgOrBbGMVvlK2xIiLSLdjemDV2m1fIOWyoGkznplMYhuml6gtsZreCOG6ylsJrqZZiitS1PE2eiglEge8NAJ4AXgUywEQgDHxvFVAL/Ai4opOv4YRRrG5KERHpEBuqVtptdiHnyCtS78x0CkPs6QZgCtQ7U6S+isJrqZZSQJG64ybjgO2BqWk2U1Cxf1epmEAEHApMAD4dRvFC4P3A964FfgDsABD43kpgV3v8+YHvHYb5j/KVMIonB763M3A7sBswGTjBHjsdeMruL/i2URERkUIVuUi9M9MpDLSnG2y3LQtsTtrB5Wk+BZyNGXqsd9zk9DSbua3A1y66SgpEOwELbBjKeRPYDjgT+AWm12gT+713gIuBPwDnAAFwH5AFjrXfuwb4nj3+aeC4/BcMfK8/Zor9IYiIiFS4IhepF1qgPhwzN5WDCWfDgK062IxewM2OmzxeKT1FlRSIHLs1tR4zOVkaRvGywPdygeiBMIrfC3zv38Bege9NBHbGrBl0OuY/Vv7U+3EYxfObnPsC4KJivgkREZFK1tkidQDHTXJF6iNoX4gaD+ze5DS9MZ0eCkRNvAOMDnxvdBjFuenud7X72+IAuXHM44HX7Nd1mAvekkuBqzCrWb/d0QaLiIhUI7u+3VqgaUdDs2zt0ExMz1BOHfBe8VtXmF5tH1IyjwIzgJsC39s28L0DMUNlN2KKqgcHvrd9K8+fCUwFTgVSYD/MMFqLwiiuDaN4OaZITkRERLqAHRY7HROCsP+eUSnDZVBBgSiM4jXAwZh6ngT4I3BlGMU3YQqiZwEvt/L8FDgG0z33FnA+pm5IREREyswWUE8ADgAmVFJBNYCTproLPfC9sZgxzHFhFBd0O6WIiIiUT2d/l1dMD5GIiIhIuSgQiYiISNVTIBIREZGqp0AkIiIiVU+BSERERKqeApGIiIhUPQUiERERqXoKRCIiIlL1FIhERESk6ikQiYiISNVTIBIREZGqp0AkIiIiVU+BSERERKqeApGIiIhUPQUiERERqXoKRCIiIlL1FIhERESk6ikQiYiISNVTIBIREZGqp0AkIiIiVU+BSERERKqeApGIiIhUPQUiERERqXoKRCIiIlL1FIhERESk6ikQiYiISNVTIBIREZGq16fcDagwmwe+V+42iIiISMdt3pknKxAZuYv437K2QkRERDprc2B2R5+kQGS8CuwFzC93Q5oxBHgb2AlYWea2dFe6hsWh69h5uobFoetYHD3xOm6O+Z3eYU6apkVuixRT4HvDgGXA8DCKl5e7Pd2RrmFx6Dp2nq5hceg6FoeuY2Mqqq58tcDP7b9SGF3D4tB17Dxdw+LQdSwOXcc86iESERGRqqceIhEREal6Kqouo8D3RgPHAScA3wij+I3A9/oAhwInAu+EUXxhC88dCPwSOBZ4KIziM0vT6srTyev4U+AsYADwAHB6GMXrStLwCtPCddwbuAn4GPAu8O0wip9v5rnfB84F+gJ3AOeFUVx13c+FXsPA93oBVwAnAQ5wD3BWGMV1pWx/pejMZ9E+vxfwPDAmjOIJpWl1Zenk/89V+ftFPURlEvjeUGAm8BVg97xv3QVcBewL9G/lFPcCR2B+gJ7fNa2sfJ25joHv7Q5cApwMfBb4EnB817W2cjV3He0vlfuBF4HtgNeB25t57seASZjP4pGYgHl4KdpdSTpzDYFTMNfvEMz/1yfY81SdTl7HnLOBT3RpQytYEa5hVf5+USAqnzXAeCBosv97YRTvgLkVslmB7+0FuMBXwih+MoziFV3XzIpX8HUEcj0YM4EPMIWFG4rewu6hues4CLgbuDyM4tnAUzQ/8dnngKlhFD8RRvHLwAt2X7XpzDVcCJwTRvHkMIpfBBa0cFw16Mx1JPC9rYGfAjd3cTsrWcHXsJp/v2jIrEzCKN4ALAh8b0KT/XPb8fR9MLdKXhT43icwXcNnhFG8rOgNrXCduY5hFL8e+N51mL+U6oFngT92RTsrXXPXMYzildi/Du0Q5KnAn5t5+mY0nsNkqd1XVTpzDcMojnNfB753GOYX1X1d2+LK1MnPIpghod8BizG9HFWnk9ewan+/qIeoe9oEU6txD+ADn6GKujWLJfC9PTE/FHzgQODjwFfL2qjKdTMwCrigncdXXf1QO7R5DQPfywAh8N0wimeVqmHdTIvXMfC9r2F6Ri4rdaO6mdY+i1X7+0WBqHtaAMwIo/ieMIpfAv4GZMrcpu7oIGBaGMX3h1H8LPAP4LAyt6niBL53BfBF4JAWJm/7EBiR93gY5jMqVjuuIYHvbQs8Dvw2jOJbStm+7qId1/GnwLaYz98VwNaB7yUlbGLFa8c1rNrfLwpE3Ujge73tl08A2wa+d3TgezthPtyvlK9l3UvedZyCuY77B763C6areEr5WlZ5At87Hzgd85fi8sD3Rtju9vzr+CwwMfA9197Fsg/wTDnaW4nacw0D3xsD/B14FLjaHjOkXG2uRO38LB6EWYZid0wv0RyqsMC/Je28hlX7+0WBqJsIfM/HLj4bRvE04BuYO3teBl5CXcTt0uQ6ZoErMV3DL2B6iK4pW+Mq06XAcMxnbInd9m1yHd8AfgDcgvmFfl0YxY+Xp7kVqc1riPkltQ3mrp7cMdnSN7WiteezWBNG8Ywwimdgaog2hFFcU6b2VqL2XMOq/f2imapFRESk6qmHSERERKqeApGIiIhUPQUiERERqXoKRCIiIlL1FIhERESk6ikQiYiISNVTIBIREZGqp0AkIiIiVU+BSERERKqeApGIiIhUPQUiERERqXoKRCIiIlL1FIhERESk6ikQiYiISNVTIBIREZGqp0AkIiIiVe//AR1/4raAM6rdAAAAAElFTkSuQmCC);} 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span.minigraph-f11::before { content: 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);} 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);} 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);} 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);} 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);} 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);} 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QNrEqtsS3wceANxaY/AG9q1qv/WVpRkkaSgUjSwKnUGhXgYOBUYAegCZwOvKdZr95TZm2SRlPPAlESR28EjgceD1xF+PDEE4DL0ix/1yye70nA/wK7p1m+vFd1ShpslVpjKfAZ4C+LTb8lnEp/aXlVSRp1PQlESRztT/gAxQj4JXAo8C3g+l48v6TRVoSgvYFnAscBWwIPAR8GTmrWq2tLLE/SGOjVCtHjgXVAI83yPyZxdAqh138csH8SR1cAS4GPp1n+z0kcbQx8AjiEcKbIe9Is/0oSR3sAXwH+BPhxj2qTNMAqtcZhhIHp1s9W/BlhVeiKcqqSNG569eGu3wEuBK5M4ug84Llpln8JuA3YnLBy9CHgA0kcbQa8A/hzYD/gLcC/JnG0hDAvcD/h+iJtA1ESR4uSOFoMbNGj2iWVpFgZmhyGmsCrDUOS5lNPAlGa5Q+mWf5S4JXFpm8lcZQVv/9RmuXXEELTAmB74BXAHsCvgPMIV5p9EnAQcHYxM/TtKf6444HVwO8AVqx+Oc07D5zd7d3bVnrx95c0a3vx6NehCrCsGKyWpHnRk0CUxNGLkjj6mzTLv5dm+SHAc4C/JawATVYB1gNfL76/H+HaIpcS/me4fpo/7kTCBzju24vaJZXqGtr/m38vcFGl1njyPNcjaUz1qmX2eELb60VJHO0AHECYKbp1ivtfALwc2JkQbj5ECEqXAIclcbQr8NftHphm+do0y+8G1vSodkkladarK4BlhNcLil+/QfhssucCl1dqjU9Uao2tSipR0pjoVcvsXOBfCLMAfyBcWv+1wMopHvJRwvB0TjF7lGb5fYTL8G9OON3e/xlKY6BZr54D7Aa8ANitWa++inBixb8DCwmvC1dVao3X2kaT1C+VZnM4PwIoiaOdgRWn7Xol22308Oye5KTrfXGVBlil1ngx8GnCKfkAPwLe3KxXG+VVJakME+/7wNI0y6dacJm1XrXMJKnnmvXq94Aq4WSK+wjzib+q1BqftI0mqZcMRJIGWrNeXdusV08inEjxdUIb7a2ENtohttEk9YKBSNJQaNarf2jWqzHwYsLHAy0BvgBcUqk1nlJqcZKGnoFI0lBp1qvfJ7TRjiO00Q4itNFOrdQaW5dZm6ThZSCSNHSa9eqDzXr1I4Q2WkZ4LfsHQhvt9ZVaw9c2STPii4akoVW00Q4G/oJw9fodgM9jG03SDBmIJA29Zr16AeEzEN8N3As8G9tokmbAQCRpJBRttJMJbbSvsWEb7Q220SR14guEpJHSrFdXNOvVVwMvAn5LaKOdC/y4Ums8tdTiJA0sA5GkkdSsV39A+PDofyS00Z4FXFapNU6r1BrblFmbpMFjIJI0soo22kcJbbSvEl7zjiG00Q61jSZpgi8GkkZe0Ub7O+CFhDba9sC/Aj+p1Br7l1qcpIFgIJI0Npr16oWEs9HeBawBngn8slJrnG4bTRpvBiJJY6VZrz7UrFc/TmijpYTXwaOBqyu1xhtto0njyX/4ksZSs15d2axX/x74c+BK4LHAOdhGk8bSRmUXMFdvvuGJS9MsX1l2HZKGU7Ne/WGl1tgPeAvwT4Q22mWVWuNM4IRmvXpHieVJmieuEEkaey1ttH2ArwAV4E2Es9EOs40mjT7/kUtSoVmv3tSsV18DvAC4gtBGOxu4tFJrHFBqcZL6ykAkSZM069WLgKcC7wTuAZ5BOBvtjEqtsW2ZtUnqDwORJLVRtNFOIbTRvkxoox1FOBvtcNto0mjxH7QkddCsV29u1quvBZ4P/AbYDvgc8NNKrXFgmbVJ6h0DkSR1oVmvXgzsD7yd0EZ7OvCLSq1xZqXW2K7U4iTNmYFIkrpUtNE+SWijfYnQRjuS0EY7wjaaNLz8xytJM1S00V4HPA/4X2Bb4LPAzyq1xtNKLU7SrBiIJGmWmvXqJYQ22tuAu4GnAT+v1Bpn2UaThouBSJLmoFmvPtysVz9FaKN9kdBGW0Zoox1ZqTUWllqgpK4YiCSpB5r16h+b9eohwHN5pI12JqGN9vRSi5M0LQORJPVQs179EaGN9lZCG+1AQij6XKXWeGypxUmakoFIknqsaKOdSmijnUdoox1OaKMdZRtNGjwGIknqk6KN9nrgOUAD2AY4gzB4/YxSi5O0AQORJPVZs179MXAA8BZCG+0AbKNJA8VAJEnzoGijfRrYG/hCsXmijfYm22hSuQxEkjSPmvXqLc169Q3AQcCvCW20zxA+BuSZZdYmjTMDkSSVoFmv/oRwBto/AKsJZ6b9tFJrnFOpNbYvtThpDBmIJKkkRRvtNMLZaJ8vNr+R0EY72jaaNH8MRJJUsqKNdijwbOB/gK2B04FfVmqNZ5VYmjQ2NurlkyVx9DjgNOD5wIPA14B3pVn+YJeP3xM4G3gmsAI4Ns3yvJc1StKgatarl1ZqjQOBo4APA08FLq3UGucCxzXr1VWlFiiNsJ6tECVxVAG+BWwBPAN4aXF7/wwefx5wB7AX8HXgy0kcbdyrGiVp0DXr1XXNevV0wtlo5xabDwWuqtQax1RqjV0qtcYLKrXG0vKqlEZPL1eI9icMCD4pzfJrAJI4Ohr40ySO9iZcjOzpwErgqDTLL0ri6CJgM2BP4DDgQuBraZavSOLofOA4YEtCSJKksVGsBr2xUmt8jtA+eyphBf604i7rK7XGsma9ek5ZNUqjpJeBaM/i16snNqRZfgFwQRJHbwEuBl4PvAM4FagWd2sCTwNWTmqPHQX8V5rlG4ShJI4WAYsIK1GSNDIqtcamhBXyfYrb3sWve7S5+wLgrEqtcX6zXl0xf1VKo6mXgWjiuRYmcbQZcEPx9Y3A3wKnAEcSrrlxb8vjfpRm+fWtT5TE0QcIc0hPa/PnHA98oHdlS9L8qdQaC4DH80jYaQ0/uxA+96ydZpvvLQSeQJi5lDQHvQxEE6HmKcAvgf2AQwinkH4GWE+YKXoJoRXWVhJHxwBvB16QZvkf2tzlREK42gn4XY9ql6SeqtQaW/HolZ59CCtAm3Z46J3AVcXt6pbf31983Tr7uQ64tte1S+Ool4Ho58CvCL3uw4HbgV0JQWhrwj/oewlzRG0lcZQAHyOsKP0+iaOtgftaz1JLs3wtsDaJoy17WLskzVil1tgY2J0NV3omAtCSDg99CLiOR8JOa/i5rVmvNqf485YBZxFWhtYBR9ouk3qjZ4EozfJmEkevIMwHXQxsTAhIhxV3+VfgF8BFwFZJHLX7H9L/AzYB6i3bDuWRC5ZJ0ryq1BoVYAfar/bsQefX0Zt59ErPVcDyZr368Exradar51RqjfMJbbJrDUNS7/T0OkRplv8ROHiKb+/eZtvzJz2+3X0kqe8qtcZmhKAxeaVnH2CrDg+9j0cHnquBq5v16t29rrMIQQYhqcd6GogkaZC1DDS3W+3ZpcNDm8By2q/23NSsV9f3r2pJ88FAJGnkVGqNrWl/FtdMBppbw8+1zXr1gT6WLKlkBiJJQ6kYaN6DR6/07EOY+ZnKQ4Qzs9qt9tw+1UCzpNFmIJI0sNoMNLeu9nQ70Dx5tWdWA82SRpuBSFLpioHmiSs0t6727E3ngeZ7KQaYmRR+mvXqPf2sWdJoMRBJmhdtBppbw0+3A82TV3tW2uKS1AsGIkk9VQw0t5vr2YtwnbGp3EH7uZ7rHGiW1G8GIkkzNmmgefJqT7cDzRuEn2a9els/a5akTgxEktoqBpqX0H61Zw/Cx0dM5SYevdJzFXCDA82SBpGBSBpzkwaaJ4efxR0eOjHQPHm1x4FmSUPHQCSNgWKgeRcevdKzD2HQeSrtBponwo8DzZJGhoFIGiEtA82TV3u6HWiePNTsQLOksWAgkoZMMdC8J+0/mmImA83/F34caJY07gxE0gCaNNA8ea6nm4Hmdqs9DjRL0hQMRFKJioHmvWm/2jOTgeaJ2zUONEvSzBmIpD5rGWhut9rTaaB5PRsONLcGoJscaJak3jEQST1SqTW2of1ZXE+g+4Hm1vBzbbNeXdvPmiVJgYFImoFKrfEYNrxCc2sA2r7DQx/kkYHmDVpdzXr19n7WLEmanoFImqQYaN6R9nM9Mxlobg0/y5v16ro+li1JmgMDkcZWy0Dz5JWebgaa230I6dXNenVNP2uWJPWHgUgjrVJrLCQMLk+e69mbmQ00twYgB5olacQYiDQSioHmdnM9ewGLOjz0dtqv9lznQLMkjQ8DkYZGm4Hm1vDT7UDzBuHHgWZJEhiINGBaBponr/TsA+xO54HmlbS/WOENDjRLkjoxEKkUlVpjc0I7a/JKz3QDzWvYMPRM/N6BZknSrBmI1DfFQPMutL9Y4dIOD10P/J72qz03O9AsSeo1A5HmbNJAc+tqT7cDzZNXexxoliTNKwORulIMNO9J+4sVTjfQfA3tr9njQLMkaSAYiPR/Jg00Tx5q7magud2HkDrQLEkaeAaiMVQMNO9N+9WeLTs8dPJA88TtGgeaJUnDzEA0oloGmtut9nQz0NxutceBZknSSDIQDblKrbEt7c/iegKdB5pvo81cDw40S5LGkIFoCLQMNLdb7Xlsh4dODDQ/6qMpmvXqHf2sWZKkYWIgGhDFQPNOtJ/rmclAc+tqjwPNkiR1wUA0z1oGmiev9HQz0NxurseBZkmS5qgvgSiJoz2BzwAHES6+98k0y09J4mg/4MVplp+cxNFuhOHdJ6dZ/pt+1FGWNgPNraFnJgPNreHHgWZJkvqk54EoiaNNgO8BlwNVwqeTp0kc3QusBf4ROLnL56qkWT7vIaBSaywlXGX5mma9uqLD/bal/VxPNwPN7VZ7rmvWqw/24u8gSZK6148VopcCuwHPTLP8VuC6JI4+DbyDEBpI4mgN8KTi/sclcfQy4C7g1WmWX5bEURO4BHh6Ekc7pVl+Vx/qbKtSaxwGfBZYAKyv1BpvAn5E+4+m6DTQvBa4ljarPQ40S5I0WPoRiPYFVhVhaMIVhFWTY4B/IawabVN87yrgn4B/Bd4JJC2PSYDVrU+exNEiwurLFr0uvFgZmghDFL+eNc3DVtDmLC7gRgeaJUkaDgumv8uMVYrbZA8B9wHNNMtbQ8430yy/FvgF4WMjJvxXmuU3tWmZHU8ISb/rYc0T9qL7fXIP8F0gBy4EfkkIQn+k+Hv2oT5JktQH/VghugrYIYmjHdIsX1Vse1KxfTrtgtRkJwKnEE5R73UouoYw2Dw5FF1PaI8tbtm2JaE9OJV1lVrjFkJAurnl9qivvRCiJEnl6kcg+g6wHDgziaNjCfNExwDvI8zVbJ7E0V6EFaMZS7N8LbA2iaNOp6jPSrNeXVGpNZYR2mQLgXXAkc169Rz4v1PmdySEsYlfd2rz9fbF4x9X3Dqq1Bp3MnVgat12t2eaSZLUez0PRGmW35/E0YsJp903gDuBj6ZZfmYSR0uAG4GfA/v3+s/uhWa9ek6l1jifMPN0betZZs169V7guuI2pUqtsTEhFO3E1KFp4uvHEOaptgGeOE1591dqjbarTJO+vs35JUmSuldpNodzwSGJo50JA81L0yxfWXY9s1FcnXobOgemid8vnuJp2lkHrGKaVh2hXfdAL/4ukiT1U7/f971SdYmK9tcdxe2KTvet1BqbMX1oam3XTXzdUUu7brpVJ9t1kqSRZSAaEs169T66a9dtBOxAd6tOM23XTTsgDtxqu06SNGwMRCOmWa8+DNxU3KY0qV033arTYmBTwofM7j5NCesqtcZEu65TgLJdJ0kaGAaiMTWLdl1rSJocmCa27cDM2nV3MfUZda1fr7ZdJ0nqJwORplW0664vblOa1K6bbtXpMcDWxe1PpinhgeLsuulWnWzXSZJmxUCknplhu25rursswVbAJnTXrls/g4th2q6TJP0fA5HmXdH+urO4XdnpvpPadZ1WnXYgXGF84uunTvO8d9HdxTBt10nSGDAQaaDNol03XatuR8KHA2/NzNp106062a6TpCFmINJImEO7rlOAmmm7rpuLYd5su06SBo+BSGNllu266VadJtp1E/fttl033aqT7TpJmicGImkKM2zXtX523VSXJdiJmbfrurkY5irbdZI0NwYiaY6Kdt1EQJnSpHbddKtOE+263YpbJ+u7vBim7TpJmoKBSJonM2zXbUr3F8Nsbdd1VLTrull1ust2naRxYiCSBlCzXr0f+H1xm9Kkdt10q06t7bp9pymhtV3XKUDZrpM0EgxE0hCbYbtuK7q7GObWzLxd183FMO+f4V9PkuaNgUgaA0X7667i9ttO953UruvmYpgT7br9pnne1XR3MUzbdZLmnYFI0gZm0K5byIZn10016zTRrtuquE3Xrls7g4thPjzzv6EkPZqBSNKsFLNDfyxul091vzbtuk6rTlsTwtNudNeuu5VpLoRJOLvOdp2kjgxEkvpqFu26JUw/6zTRrltS3Pab5nkn2nXTrTrZrpPGlIFI0sAoVnKWF7cptWnXdVp12oSZtetaQ9JUs06rbNdJo8VAJGnozKJd1+nq4ZPbdbsWt44lzOBimLbrpCFgIJI0sia1637X6b6VWmMTOl8Mc+LrJWzYruuoUmvcTec23cS2O23XSeUxEEkSUHysyXJm1q6b7mKYmwCLi9s+05SwdgYXw7RdJ/WYgUiSZmBSu25KRbtuMdNflmBHYBtm1q5rPbuu08Uw75v531AaTwYiSeqDov21urjNpF3XadVpol23Q3F7yjTP29qu67TqZLtOY89AJEklm2G77rF0dzHM2bTrprssge06jSwDkSQNiaJdd0tx+5+p7temXddp1Wku7bpOF8O0XaehYiCSpBEzi3bd5Ithtlt1mm27brpVJ9t1GggGIkkaY0W77obiNqU27bpOq06b0n277sEuL4Z5i+069ZOBSJI0rVm067q5GOY2wGOAXYpbxxJa2nXTXQzTdp1mzEAkSeqZSe26qzrdt1JrLKL7i2EupPt23T10dzHMO2zXaYKBSJJUima9upaZteu6WXXaFNiyuO09TQkPdnkxTNt1Y8BAJEkaaJPadb+e6n5Fu25LOgemia+3ZWbtutvo7mKY987qL6nSGYgkSSOhaH/dXdxm0q6b7mKYEx/Xsj1QneZ5W9t1nVadbNcNGAORJGnszLBdtx3drTptRvftuocmnV3X6WKYD838b6iZMhBJkjSFol23qrjNpF3XadVpW2Bj4PHFrWMJk9p1nS6GabtuDuYUiJI4ugh4XptvfTDN8n+a4XP9FfBhYE/gOuCENMu/NZf6JEmaD7No13V7McyZtuu6WXWyXdfGXFeIasVzvAT4N8I1JQAemMmTJHG0P/AN4O3FrxGQJXH0lDTLfzvHGiVJGhhFu+7G4jalSq2xgO4vhtnarttrmhImt+umWnW6ZSbtukqtsbT4s69p1qsrun3coJhTIEqzfA1AEkf3Fl/fVXy9cRJHpwGHAHcA70mz/CvFitJqYA/CZ+Z8Ks3y9wGHA5enWf7p4qlPT+LoQGA3wEAkSRo7zXp1PTNr13VzWYLZtuum+wiWvwM+S/h4l/WVWmNZs149Z8Z/6RL1a4boHcCfA/sBTwK+lsTRD4rv7Qy8Engp8Kkkjj4CPAG4uvUJ0iw/tN0TJ3G0iPBBhFv0pXJJkobIpHbd1Z3u26ZdN9Wq047MoF03yQLgrEqtcf4wrRT1KxC9grAK9Kvi60WEYARwUZrl1xarRQsI0/uVGTz38cAHelSnJEljYxbtum5WnTZr8xQLCYsdYx+I1gNfB05o2XbLFPetAMuZdCn2JI4+DfxHmuXfn3T/E4FTCAeh46c4S5KkmZvUrmtMdb+iXbc3cCVhkWPCOuDaftbYa/0KRBcQ2mZnAGuAY4FlHe5/LvDjJI6OAv4D+GvgSODMyXdMs3wtsDaJoy17XbQkSepe0a67qlJrLAPOIqwMrQOOHKZ2GWyY5nrpo8BXgBy4ELgyzfIpP304zfJLgQR4G+GU+6OAOM3yK/pUnyRJ6pFigHo34AXAbsM2UA1QaTaH81IESRztTOhNLk2zfGXZ9UiSpP7p9/t+v1aIJEmShoaBSJIkjT0DkSRJGnsGIkmSNPYMRJIkaewZiCRJ0tgzEEmSpLFnIJIkSWPPQCRJksaegUiSJI09A5EkSRp7BiJJkjT2DESSJGnsGYgkSdLYMxBJkqSxZyCSJEljz0AkSZLGnoFIkiSNPQORJEkaewYiSZI09gxEkiRp7BmIJEnS2DMQSZKksWcgkiRJY89AJEmSxt5GZRfQA0uSOCq7BkmS1F9L+vnkwxyIJnbMf5dahSRJmk9LgJW9ftJhDkSXAwcAt5RdyDS2AH4H7AusKbmWUeJ+7Q/3a/+4b/vD/do/g7hvlxDe/3uu0mw2+/G8KiRxtBhYDWyVZvndZdczKtyv/eF+7R/3bX+4X/tn3PatQ9X9txb4YPGresf92h/u1/5x3/aH+7V/xmrfukIkSZLGnitEkiRp7A3zUHXpkjjaAfh74PXA69Is/00SRxsBLwXeAFyVZvl7Ozx+AfATYKc0y3frf8XDYy77NomjTYEPAQcD/5Fm+THzU/Xgm+N+fR/wZmAT4JvAsjTLH5yXwofAFPv2QOBM4E+Bq4Gj0yz/SZvHvh14F7Ax8Hng3WmWu3zP7Pdr8fp6MnAoUAG+Crw5zfJ181n/IJvLz2zx+JF6DzMQzVISR1sCNwD/A+zX8q0vA08FFgPLp3mafwCeBqzoeYFDrAf79mvAXoQXwp/3o8ZhNJf9msTRfsA/A7XiOX4E/Bg4u0/lDpV2+7Z4s/gG8C3gr4ETgXOBvSc99k+BjwEvIwyw/hC4GPjPeSl+gM1lvwKHEV4DXkIImj8g/Nx+pf+VD7457tsJI/UeZsts9u4HdgWSSdvflmb53oRTFaeUxNEuwPuAs/pT3lCb9b5N4ugAwpv2q9MsvyDN8nv6V+bQmcvP7MRqxQ3AHwhDlg/3vMLh1W7fbkZ48/1ImuUrgQtpf2G55wLXpFn+vTTLfw5cWmzT3PbrrcA70yy/LM3ynwKrprjfuJrLvh3J9zBXiGYpzfKHgVVJHO02afvNXT7FmcCpwB3AK3pb3XCb4779M8L/sj+QxNHTCMu5R6ZZvrrnhQ6ZuezXNMt/ncTRacCvgfXAJcAX+lHnMGq3b9MsXwMcB1C0JQ8HvtTm4duz4TVe7iq2jb257Nc0y/OJ3ydx9DLCG/u/97fi4THHn1kYwfcwV4hKkMTRawjJ/KSyaxlB2xCWx78KxMCzKP6Ba/aSONqf8OIYAy8EngL8XalFDZezgO2A47u8v/ND3Zl2vyZxVAVS4K1plt84X4WNgCn37ai+hxmIyvE+YE/CEu7JwC5JHDXKLWlkrAKWp1n+1TTLf0aYw6iWXNMoeBFwfZrl30iz/BLCPMbLSq5pKCRxdDLwF8BLpri43W3A1i1fLyb8HKuDLvYrSRztCZwPfCrN8s/OZ33DrIt9O5LvYQaieZTE0cLity8iXAp9P0LCvgl4eUlljYSWffs9YM8kjl6ZxNG+hH/UvyqvsuHWsl+vJOzX5ydx9ERCa/LK8iobDkkcHQcsI6ys3Z3E0dZFK6J1314C7JHEUa04w+fPgIvKqHdYdLNfkzjaCfg+8B3gE8V9tiir5mHR5c/sSL6HGYjmSRJHMcUH0aZZviLN8uVpli8n9F8fTrN8JKb0yzBp314PvI5w1s7PgZ8xYsu682XSfq0DHyW0Ii8lrBB9srTihseJwFaEn8M7i9tBk/btb4B3AJ8lvHmflmb5+eWUOzSm3a+EN/XdCWeaTdynPv+lDp1ufmZH8j3MK1VLkqSx5wqRJEkaewYiSZI09gxEkiRp7BmIJEnS2DMQSZKksWcgkiRJY89AJEmSxp6BSJIkjT0DkSRJGnsGIkmSNPYMRJIkaewZiCRJ0tgzEEmSpLFnIJIkSWPPQCRJksaegUiSJI29/w8WgoqVcgJWiwAAAABJRU5ErkJggg==);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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VYx8SCncrbq+P+Xg08laY1+z1fiBYnEZGis60+s2h8kPOMFIpRXtqlkcBnZdzfuy6FMojkSoGTiEhGnL7SZjQe+GzByAHFjVpD42N91rRLd5dIXgoTOI2VcsU+/hbgzqqnzQrCaE2t12tFrjrl8RKZ3Jy+0hRMADOHxmZ31UuRMRHraW6Qs7q7RJpQiMApQcoVMMsMPAn0lg/UC5pEpD1Up6VI4fUczCK3c2hsdlcas25jkg9srrxd3q9Tq49IfgoRODFOyhVrPrAsCKOVOZRPRCbI6SsdD1yC6Z4advpKC+1spFopLCbS/VUv79dEDND4WJ+X4v7e4RTKICI5KErglCTlyvbAjr7nPoaZ2fGVIIyC8oNKuSLSPmxLUzlowu4vdfpK55MshcV4NmICmUYCn1Vxf+/6FMogIpNQUQKnWqqbsq8BngFuAT4AXG7XeFpmH299ypUzaqSBUfoLkVpeQ+2B0M0GTasx05CfwyROXVOxVd+vPDaAGVukhKoiHa4ogVOSlCtPAg8HYfSS77mLgC8DuwHlwEkpV0TaxyOYqe+VwVMMLLL7mRXbrDr3awVZs4E97NYwp6+0gfoB10QCslfux/29G5opk4hkoyiBU5KUKxcA2/ue+0HgvZhfjw+VX0ApV0TaxxhpKS5L+hp2BtwMxg6ukgRglVs5GOvBjJvaspl/Z1V51zPBYGu8cxSMiaSvEIFTkpQrwGnApZjWpGeBo4IweianIovIOJpNS2Gn3a+yWyrs6tvlYKyZAKzyWHmJgqnAXLulVd5BGmj9GuscLWcgnU4pV6qUl2I/f4fF6Y9xqkVjnEQ6mg3Gxgu+JhqQpZEepZ5BGuyOrHPOgIIxyZJSrrTIKUv3UK46EWk5251WnuGXCqevNBXTMpZGi1j5fo99+fIM5K1SLO86mhgfVuOcNXF/rwbyS0socBIRKRi7XEJ5hfFU2GBsIgHYeAHZLDZ9B21mtzSDsbU0OWC/6v6AgjGBnAMn33MPAzYLwuinGb7nOcB5441vakXKlbEoHYuItDMbjP3Fbqmwi5mm1SJW3pcXON3cblunWN6XSWEGJSODMS2GOsnkFjj5nrsf8F1gf3v/PZjB3a/FzHY7Iwij6+1jLjA1CKOf+p57LLAoCKNGf5ncD1zne+6bgjDSInYiIjmJ+3sHMWOmXkzj9WxKnXLLWFozKSuDsel22yaN8toyv0xKS1rY/csKxlorzxan84BvBGH0jO+5ewL/hVmA8seY5QJ+4XvuPkEYPQC4mD/gplqmfM91gjD6ie+5n8TktftOM68nIiLtw+bwa0UwVtky1kgAVut+eY2ycjC2bRrltWUeIMU1xjDBWCozydLOP5mHXAIn33N3B/YBDraHTgQeCsLoLHv/Qt9zjwBOtKlQjrHP6wd+BvT4nns1cCjwe+B9QRit8D33cMwCeVsBEbAQ8IFzgSWYRTDfDwT2PRU4iYhIXTZgWGe35Wm8pg3GNiPdmZQz2RSMzbBbWsFYXBGMNROQHQJ8nar8kymVMTN5tTi9BXiyIuHubsADVef8EdNtdzhmtd8ZwIcAD9Nv/SPMmk23AEf4nnsdcBXwYfvcADgZk1tqNvBF4A772vcB5/meOyMIowFQrjoREcmGDcbW2u2FNF6zIhhLcyblTMCxW/l4WrqAi52+0g2TreUpr8BpO0YOMCxXzChBGK31PXc9ZozTgO+5AKuDMPpvAN9zl9jXezcm8PmBfep0TKvWzcCqIIyuq3jZF+z7zcXkoIIsctWN5QxirekkIiKNqArGqlOONcQGY5uTTovYXGBe1Vt0Yxa4VeCUwHpMYFP2EPDOqnNeh+mGS8LB5LVaB7zB3gYTFL23xvnllXrXVhxTrjoRERHLBmMv262pYMyObVrKyPyTQ8CjzbxuHmplH8/Cn4HtfM8tt7BcAuzqe+7nfc99le+5HwXeikmRAmag33zfc8fqr70dE70ejUkC+lFgzzrnbo9Z3+SVwYNBGA0GYbQa0xcrIiIiKbHdcQsxwRJsyj85qVqbIL/A6XZMi9OeAHbm3D8CRwAPY2a8HR6E0R/s+VdjxkFdWO8FgzBaghkI/kFMi9HemLFOtbwduDEII+WbERERyYAdCL4j8A/AjpNxYDjkmKvO99z/AAaDMDol4/edhmnxOiIIoztrPJ5trrpKGuMkIiLSUpM5V93pwP/4nvvuIIxuyvB9vw9cXStoqqRcdSIiIlItt8ApCKO/+J57ACkuh5/QfwL/m+C8be0MPhERESmOpta3yq2rrl35nvsGzDpPIiIiUlz7BGH024k+Kdckv23qfsz6T89N8HkzMYPSd0Mz89qN6qZ9qW7ak+qlfalu0rEt5vt+wtTilBLfc2cDq4At7LIG0iZUN+1LddOeVC/tS3WTv7yWIyiiQeDLdi/tRXXTvlQ37Un10r5UNzlTi5OIiIhIQmpxEhEREUlIg8MT8j13G+BDwDHAUUEYPeB77hTgPcCxwENBGH2+znP/FTgFk7n6WmBhEEbrMyl4B2i0bnzP7QLOBT6CScFzZhBGQWYFL7g69fJG4CJM1oCHgY8FYXRHjeeeCnwW6AEuB07XSv/pabJudgCOss99fRBGGqCcokbrxn6efRM4DpO/9WrglCCMhpBUqcUpAd9zZ2GSEx6JSeVS9mNMYuD92ZQ4uPq5ewNfwXw5vw2TWubo1pW2szRTN5gPpmMxCaZPBS73PXfHFhW1o9SqF/vBfg1wFyYj+u+BH9Z47p7AIswXwPswPzoOzaLcnaDJutkDeBDzObZLNiXuHM3UDXA85v/MwZjk9sfY15GUKXBKZi2wAyYXXqVPB2G0K2ZqaD3lX8lLgScxA/oyzuVSaM3Uzb7AHUEY3ReE0bXAEuCg1hSz49Sql+nAVcA5dlX+31B7Ibq3A48EYfTrIIzuAe60xyQdzdTNUmA+8LlWF7JDNVM3LwCnBWH0/0EY3QU8X+c8aZK66hIIwmgj8Hx1a0QQRssSPPf3vueej/mVMIxJcHxFK8rZiZqpG+Ax4DDfc7cG5gBbAdukXcZOVKtebJfOGQC2K/UE4MoaT9+akevTrCT7DAOF1UzdBGE0YM/Joqgdp8m6icq3fc89BBM0/by1Je5ManFqMbsS+QmAB7wL2Av4YK6FkrKLMK2Ay4BfAlPtbWm9i4F5wJkJz9f4puxMtG4kO+PWje+5vUAAfCoIoyeyKlgnUYtT670bWBKE0TUAvufeDByC+cOWHAVhtArY1/fceZgv5ueAP+RbquLzPfebwIHA/nUW8FuOaQEsmw08kkHROl6CupGcJKkb33N3Bm4AzgvC6JIsy9dJ1OLUIr7ndtubi4Gdfc99hx1Y+VZ7THJSUTf4nrs58CrMGIJbgzC6N7eCdQDfc88AFmJaYFf7njvHdj9U1svtwE6+5/bZ2URvBW7No7ydJGHdSA6S1I3vufOBG4HrgO/Yc2bmVeYiU+DUAr7nethEwUEY9QPfwkwNvRO4GfhuboXrcJV1Y30G+DWmi05dqK13FrAFcDdmCYgVwP5V/2cewNTLJZgvgfODMLohn+J2lHHrRnKTpG4WAq/GzKwrn9OffVGLTyuHi4iIiCSkFicRERGRhBQ4iYiIiCSkwElEREQkIQVOIiIiIgkpcBIRERFJSIGTiIiISEIKnEREREQSUuAkIiIikpACJxEREZGEFDiJiIiIJKTASURERCQhBU4iIiIiCSlwEhEREUlIgZOIiIhIQgqcRERERBJS4CQiIiKS0F8BAROx+T7u4tAAAAAASUVORK5CYII=);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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LAvxC4Fjg1ihPdeSAirWhGN491buDxRqVd76XuVRSIoji5HbgdoFgUaRVmE7btgDlRnCzqcskAzG88g4CtgSuAxxSGRKSF7dbluBM4LU/dZhkdgnUjRDs7XtaWp26n1WpEulGVdYjCwM+APYBHMHuOTAX2CwN/NmZH2guiOHkQuB64FxOcrgb2jeLknA085xBgCDCyGjWKiNSpk4rPtwM/BmY0WRgCeAVox/ybPgl40W45IuurVlP1IcDBwF7ACZhVVi8DPg48AdwVBv7gKE6mAZtjwtPhwLQw8GeGgZ8WAajcFMwePs9WqUYRkbrieNk4TM8lwPfz1H2kCcMQeequQdNmUucqCkRh4Lth4B8UxcnsKE4ewvQQHQg8B/y02JjtWmAcsC1AsR/JDcDFwFnA6cXTHdLl6S/HrMfRdThZRKRZHA0MBp4E/mG5llpTY7XUtUpHiPYCfhEG/vvDwN8T2A/zl/pXwB1h4G8DHAW8CcwBCAP/AGBeMVrUBiwClhdfrxXFSXuxOVyfN2oTEalXxZ5lpemyW1tgSwuNEEldqzQQTQVuAu4D/lB8vh44GTMiNAPwgSCKk1UAUZw8ihkZAtNUfT8wEZhWYS0iIo3k3ZhfKtuBn1qupT+URoi0WrXUpUrvMsuB84uPck9iRos2dh1RnEzFhCoRkVZTGh26N0/dN61W0j80ZSZ1TStVi4j0M8fLhmHaCQB+ZLOWflQKRJMcLxtqtRKRbigQiYj0v89ibhqZBTxkuZb+8jrmzmEH2NlyLSLrUSASEel/pemy24pb0pte0TReaqxWH5HUHQUiEZF+5HjZzsCHgRy4zXI5/U19RFK3FIhERPrXicXn3+Wp+7LVSvqfApHULQUiEZF+4nhZG2Y1f2idZupyCkRStxSIRET6z8cxa7S9CSR2S7FCizNK3VIgEhHpP6Vm6ql56rZbrcSOUiDayvGy0VYrEelCgUhEpB84XrYF8Oni8FabtdiSp+5iYF5xqDvNpK4oEImI9I9jgEHAX/PUzWwXY5H6iKQuKRCJiNRYl41cW7GZupwCkdQlBSIRkdrbF9gTWAlElmuxTY3VUpcUiEREaq80OvTzPHUX2SykDmjXe6lLCkQiIjXkeNkI4MjisCWbqbtYO2VWTCWK1AUFIhGR2vo8MAp4AXjUci314AXMtiVjgC0s1yKylgKRiEhtlW/kmlutpA7kqbsSmFUcqo9I6oYCkYhIjThetivwQWAN8GO71dQVNVZL3VEgEhGpnS8Un6flqTvHaiX1RY3VUncUiEREasDxsoHA8cWhmqnfTmsRSd1RIBIRqY1PAlsDrwOp5VrqjQKR1B0FIhGR2ig1U9+Rp+4qq5XUn1IP0WTHy/RzSOqC/iCKiFSZ42VbA15xqOmy9c0CVgNDgYmWaxEBFIhERGrhOKANeCJP3WdsF1Nv8tTtwKxHBJo2kzqhQCQiUkVdNnLV6NCGqY9I6ooCkYhIdf075of8cuBuy7XUMwUiqSsKRCIi1VUaHbo7T90lViupb1qcUeqKApGISJU4XjYKOLw41HTZxmlxRqkrCkQiItVzBDACeA54zHIt9a4UiHZ0vGyw1UpEUCASEamm0lYdP9JGrps0F1iGuRtvR8u1iCgQiYhUg+NluwP7AZ3ATyyXU/eKwKjGaqkbCkQiItVRaqb+dZ66r1mtpHGosVrqhgKRiEiFih6Y44pDNVP3nBqrpW4oEImIVM4DtgBeA35juZZGoikzqRsDbRcgItIESs3UtxfbUkjPKBC1uDDwtwSOAo4Hjo3i5Okw8A8CrgO2B/4FnB7FyV+6ufbLwPnAIODHwIVRnPT5ZgaNEImIVMDxsm2BTxaHt9mspQGVeoi2dbxspNVKpN+FgT8Ks9HvEcDexWPDgHuAn2GmUp8Cburm2j2Bq4ETgUOBM4FDKqlHI0QiIpU5HvPL5R/z1H3OdjGNJE/dNx0vWwBsDkwG/mm3IulnK4BJwHDgJYAoTlYAowHCwHeAJcDqbq79EPB8FCe/Lc59vHjs130tRoFIRKSPHC8bwLrpMjVT9810zHIFu6BA1CxGhoE/uuy4PYqT9q4nRXHSAcwPA3+Hrt8LA/8i4FJgDfDebl5jC2Bp2fGi4rE+05SZiEjffQjYGXgLiC3X0qjUR9R8ngUWl31M6cNz3AjsAzxYfN0TFS2GqkAkItJ3pdGhO/PUXWa1ksalQNR8dgPGlH1c3tMLw8AfFQb+kcCaKE6eAW4GPhgGfluXU98AxpYdjwbmV1K0psxERPrA8bIxwOeLwx/ZrKXBaXHG5rM0ipMlfby2E7gF+E4Y+Ddi/o5lUZx0AoSB31Z8/QfgujDwPcxyF/8OXFNJ0RohEhHpmxAYBjwD/NlyLY1MI0SyVhQnyzEh6LOYsLwrcDRAGPgB8LfivKeBczEjSPcD10Vx8kAlr60RIhGRvilt1XGrNnKtyIzi8zjHyzbPU3eB1Wqk30VxMhNwyo4fANYLN1GcxJT16kVx8l3gu9WqQyNEIiK95HiZi2n4XA3cYbmchlb0Xs0uDrWFh1ijQCQi0nulZupf5an7utVKmoOmzcQ6BSIRkV5wvGwIcGxxqGbq6lBjtVinQCQi0jufAcYBc+imz0H6RLvei3UVNVWHgT8Q+CZwavFQCpwCbAncjpljfw74QhQnWRj4+wN3Y1aXPDSKEy1zLyKNptRM/eM8dTutVtI8NGUm1lU6QnQ0JgB5mKXXP4YJR1cDy4A9MRuzlZa0vwC4EPgJcEYY+EPDwL+l2K9ERKSuOV62PXBQcaiNXKtnbSByvEw/D8SKigJRFCe3R3EyLoqTxzALI63C3HVxADA1ipOXMWFonzDwhxevNxt4FWgDrgAei+JEt6yKSCM4AXN78CN56r5guZZm8hJmQb7hwDaWa5EWVZUeojDwM8wy2s9j9hwp33RtUfF5PHA9cC8mCL0MTIzi5McbeM4hxeZwI6tRo4hIJYqNXE8sDrWRaxXlqbuaYrdzNG0mllSrqfoQ4GBgL8xvUN3JoziZBmwO7AEcDkwLA39mGPhpGPhDupw/BbMp3LNVqlFEpBIfAXbA/Lt0j91SmpIaq8WqigJRGPhuGPgHRXEyO4qTh4DfAwfy9k3XRhefXwco9iC5AbgYOAs4vfj+IV2e/nLMpnC7VVKjiEiVlJqpf5an7gqrlTQnNVaLVZWOEO0F/CIM/PeHgb8nprH6H8CjwHFh4G+PGWJ+IoqTlQBh4B8AzCtGi9owU2rLi6/XiuKkvdgcbikiIhY5XjYOOKw41HRZbSgQiVWVBqKpwE3AfZidZ+/D9Amdh7ml/xngXZg70QCI4uRRzMgQmF6i+4GJwLQKaxERqZWjgCFABvzdci3NSoFIrKpoHaLi7rDzi49yL2Pm2zd2HVGcTMWEKhGReqaNXGuvtFr1zo6XDcxTt8NqNdJytFK1iMhGOF72bmBvzLIiP7VbTVObDazE/KI+yXIt0oIUiERENq40OnRvnroLrFbSxPLUXYP2NBOLFIhERDbA8bJhmP4hUDN1f1AfkVijQCQismGHYZYQeRl4yG4pLUEjRGKNApGIyIaVpstuK6Z0pLY0QiTWKBCJiHTD8bKdMHfL5mgj1/6i1arFGgUiEZHulfYtezBP3VlWK2kdpUC0fdG/JdJvFIhERLpwvKyNdfsyqpm6/7yB2b3AAXa2W4q0GgUiEZH1HYRZQX8h8EvLtbSMYtFLNVaLFQpEIiLrKzVTT81Td6XVSlqP+ojECgUiEZEyjpdtAXymONR0Wf/TnWZihQKRiMjbHQ0MAv6Wp+6TtotpQQpEYoUCkYhIwfEyh7KNXG3W0sIUiMQKBSIRkXXeC7wDs8loZLmWVlVqqt7S8bIxViuRlqJAJCKyTml06J48dRfZLKRV5an7FvBacajGauk3CkQiIoDjZSOAsDjUdJldmjaTfqdAJCJifA4YBbwIPGq5llanQCT9ToFIRMTQRq71Q4szSr9TIBKRlud42S7Ah4A1wI/tViNohEgsUCASEYEvFJ8fyFN3ttVKBMpWqy6WQhCpOQUiEWlpjpcNBI4vDtVMXR9eAHJgNLCl5VqkRSgQiUir+wQwAbPT+n2WaxEgT912YGZxqGkz6RcKRCLS6krN1HfkqbvKaiVSTo3V0q8UiESkZTlethXgFYeaLqsvaqyWfqVAJCKt7DhgIPDnPHX/ZbsYeZu1jdVWq5CWoUAkIi1JG7nWPY0QSb9SIBKRVrUf8G/AcuAuy7XI+kqBaLLjZW1WK5GWoEAkIq2qNDoU56m7xGol0p2XgVXAEGA7y7VIC1AgEpGW43jZKOCI4lDTZXUoT91OzHpEoD4i6QcKRCLSig4HRmCmZf5ouRbZMPURSb9RIBKRVlTaquNHeermViuRjVEgkn6jQCQiLcXxst2Bfwc6gZ9YLkc2ToFI+o0CkYi0mtLo0G/y1J1rtRLZFK1WLf1GgUhEWobjZYMwizGCmqkbQWmEaAfHywZbrUSa3kDbBYiI9CMPs3v6POA3lmuRTXsNWAqMBHYCnrVbjlRbGPhbAkcBxwPHRnHydBj4+wA3AntiQvEZUZw81s21lwBnAkOBe4FTozjp836EGiESkVZSmi67PU/d1VYrkU0qGt7VR9SkwsAfBczCLIGxd/HYAOAXwJ+AycCTwG3dXLs3cBnm7/QHgM+wbvS3TxSIRKQlOF62DXBIcfgjm7VIr6iPqHmtACYBYdljw4GfAVdGcTIHeBjYqptrS3eHzgJeAdqBjkqK0ZSZiLSK4zG/BD6Wp+5ztouRHtMIUeMZGQb+6LLj9ihO2rueFMVJBzA/DPwdyh5bClwEEAb+QOBkYGo31z4ZBv51mBGkNcAfgNsrKVojRCLS9IqNXEvTZWqmbiza9b7xPAssLvuY0sfnuQnYvLvrw8B/NyYsBcBHgb2AI/v4OoBGiESkNXwI04+wFIgt1yK9oxGixrMbUL6kxXqjQ5sSBv5VwEHA/lGcdLfX4MeAF6M4+UVx/kPAJ4Go9+UaCkQi0gpKo0N35qm71Gol0lulHqJtHC8bqf9/DWHpBkJMj4SBfxFwKnAwsCQM/LHFc3aEgd8WxUkn8Aywcxj4BwLzMYutXl9J0ZoyE5Gm5njZGMywOqiZuuHkqbsQeKM41LRZa7gcGAM8ASwsPvYPAz8A/gYQxUkKfAu4C3gceAj4biUvqhEiEWl2RwLDgP/D/AMrjWc6MB4zbfYPy7VIlUVxMhNwyo6dDZ+9bso7ipNLgEuqVYdGiESk2Z1UfL5VG7k2LDVWS80pEIlI03K87J3AezHrk9xhuRzpOzVWS80pEIlIMys1U/8qT935ViuRSigQSc0pEIlIU3K8bAhwbHGoZurGptWqpeaq0lQdBv4FwLnACGAacCLwaczy2yULojgZHwb+/sDdmPVADo3iRCvGikgtfBqzqNurwAOWa5HKzCg+b+Z42eZ56i6wWo00pYpHiMLAPwj4JuY3sf2ADwJnAxOAx4DNio+diksuAC4EfgKcEQb+0DDwbwkDf2Nd5SIivVVqpv5xnroV7XEkduWpuxyzXxVolEhqpBojRKuAC6M4eRAgDPznMBuxrQLmRHGyqMv5A4DZwCBga+AK4LEoTnT3h4hUheNl2wEfLw41XdYcpgPbYQLRnyzXIk2o4kAUxcmjwKMAYeDvBbwfMwL0JWC/MPBnA68DFxSh6XrgXkxguhrYN4qTc7o+bxj4Q4AhwMhKaxSRlnMCZl2TR/LUfcFyLVIdz2P2rNIIkdRE1Zqqw8CfCNwHXBPFyZ+BW4DLML+lPQHcFQb+4ChOpmHm9fcADgemhYE/Mwz8tAhBJVMwm8I9W60aRaT5OV42gHV3l2l0qHnoTjOpqaoEojDwxwO/Ax4GLi4efg74aRQnzwDXAuOAbQGKfUhuKM49Czi9uOaQsqctLd29WzVqFJGWEQA7AG8B99gtRapIizNKTVWjqXok8BvgZeA8YEwY+KOBXwF3hIG/DXAU8CYwp7jmAGBeMVrUBiwClhdfAxDFSXuxOZw28hORHnG87FTgzuJwJBBaLEeqa20gKkYBRaqqGn+oPodZCfbjmA34FgIZcDJmRGgG4ANBFCerYG3f0VnF9VcA9wMTMbfsi4j0mONlAx0v+6jjZT8Fbir/FnCT42UTLZUm1TUTs+L4cGAbu6VIM6pGU/XtwO0b+PZ+G7kuLz5PBaZWWoeItA7Hy9qA/TF9iJ8HttzAqW3AZMydrdLA8tRd7XjZS5gps13R/1OpMu12LyINoZgm2Q8TggLMWmclb2JGmI/k7SPfnaxb1E8a33TWBaKHLdciTUaBSETqluNlDmZK/ghMCNqu7NuLMEt43A08VIwgPIyZNmvDhKHT8tTVSELzmA58CjVWSw0oEIlIXSlC0LswIehwzB1jJW8BvwTuAn6bp+6q8mvz1L3V8bIHMNNkMxSGmo5uvZeaUSASEeuKEPRO1oWgyWXfXoZZ4+wuYFqeuis39lxFCFIQak4KRFIzCkQiYo3jZXuwLgSVrzm2Avg1JgT9ptjLSqS06/1OjpcNylN3tdVqpKkoEIlIv3K8bFdMADoCeEfZt9oxS3DcDdyXp67WIJOu5mDC8jDMVOrzGz1bpBcUiESk5hwv24l1IWjvsm+tBn6LGQn6ZZ66S/q/OmkUeequcbzsecDFNFYrEEnVKBCJSE04XrY960LQPmXf6gQexISgJE/dhRbKk8Y1HROIdsXskiBSFQpEIlI1jpdti7k9/gjg/WXfWgP8HhOC7s1T9w0L5UlzUGO11IQCkYhUxPGyrTGrRR+OWT3aKb6VA3/AhKBf5Kk7z06F0mRK02QKRFJVCkQi0muOl20BfBYzEnQAb18d+nFMCPp5nrqvWihPmpt2vZeaUCASkW4Vm6LuAjyfp+5sx8vGAYdhQtBHMKtBl/wvJgTFeeq+0u/FSispBaLtHS8blqfuCqvVSNNQIBKR9ThedhJwM2bkJ3e87Glgd97+b8bfMSHo7jx1Z/Z7kdKqFgALgc0wC3g+ZbccaRYKRCLyNsXIUCkMgekJemfxdca6kSDd8iz9Lk/dvLj1fl9MH5ECkVSFApGIdLULb+8JKjk+T92f9HcxIt2YzrpAJFIV3f2jJyKtbXI3j3UCD/d3ISIboMZqqToFIhFZy/Gyg4DrisO8+NwJnKad46WOaC0iqTpNmYkIAI6XvR+4FxgM3AOcC+wEzFAYkjqjQCRVp0AkIjhe9k7MNggjgN8BR+ep2w68bLUwke7NKD5v4XjZZtr+RapBU2YiLc7xsp0xG6xuBjwBfLYIQyJ1KU/dt4C5xaH6iKQqFIhEWpjjZdtgRoS2xty+fEieukvtViXSI2qslqpSIBJpUY6XbY4ZGdoReAE4WFMP0kDURyRVpUAk0oIcLxuJ6RnaEzP1cFCeunM3fpVIXVEgkqpSIBJpMY6XDQUSzMJ2b2LC0EtWixLpPe16L1WlQCTSQhwvGwhEwEeBZcAn89T9l92qRPpk7QiR42WO1UqkKSgQibQIx8sGALcAPrAK+Eyeuv9rtSiRvnsRWAOMBLayXIs0AQUikRZQ/AZ9NXAC5ofIEXnqPmS1KJEKFEtDzCwONW0mFVMgEmkNXwW+XHz9hTx1E4u1iFSL+oikahSIRJqc42VnAl8vDs/JU/d2m/WIVJHuNJOqUSASaWKOlx0NXFscXpan7vds1iNSZVqcUapGgUikSTledihQGg26Fvhve9WI1IRGiKRqFIhEmpDjZQcCMdAG3IGZKsutFiVSfaVANNnxsjarlUjDUyASaTKOl+0D/AoYUnw+KU/dNXarEqmJVzBLSAwGtrdcizS4gbYLEJHqcbxsd2AaMAp4BHN7/WqrRYnUSJ66nY6XzQD2wEybacX1BhMG/pbAUcDxwLFRnDwdBv4+wI2YrYWmA2dEcfJYN9c+x9unS8+K4uS6vtaiESKRJuF42STMZq2bA38FPp2n7kq7VYnUnBqrG1QY+KOAWcARwN7FYwOAXwB/AiYDTwK3beApJgCHApsVHzdXUo9GiESagONlWwG/AyYC/4fZkuMtu1WJ9As1VjeuFcAkYDjrRveGAz8DroviZE4Y+A8Dn+l6YRj4IzAj4S9EcbKoGsUoEIk0OMfLxgIPYH5DngV8PE/dN6wWJdJ/FIjqz8gw8EeXHbdHcdLe9aQoTjqA+WHg71D22FLgIoAw8AcCJwNTu3mNbUqXhIE/HtMqcGYUJ30eFdeUmUgDc7xsOJACewHzMDvXz7ZblUi/0mrV9edZYHHZx5Q+Ps9NmBaA7q6fD5wDnAEchxlF+mIfXwfQCJFIw3K8bDBwD/ABzD86B+ep+/zGrxJpOqURokmOlw0p9jgTu3YD5pYd9/r/SRj4VwEHAftHcbKkm1M6gDujOJlXnP97wO1DrWspEIk0oGLNlZ8An8DMw38qT90n7VYlYsU84C1MP8lOmB46sWvpBkJMj4SBfxFwKnAwsCQM/LHFc3aEgd8WxUkncCCQhIH/UWAB5hfDb1dStKbMRBpMsXP9DzB3ZqwGDstTd71bUkVaQbHgqPqImsvlwBjgCWBh8bF/GPgB8DeAKE5+DVwF/Bz4I3A/67Yp6hONEIk0nv/B/PaUA8fkqfuA5XpEbJsOvAcFooYUxclMwCk7djZ8NnHZeV8FvlqtOjRCJNJAHC/7T4o7MIDT8tS922Y9InVCjdVSMQUikQbheNkpwJXF4YV56t5isx6ROqIpM6mYApFIA3C87HDMLagAV+ape5XNekTqjFarloopEInUOcfLPoFZmMzBLE3f1zU9RJpVacpsguNlo6xWIg2rKk3VYeBfAJwLjMCsFnkiZjGl24F9gOeAL0RxkoWBvz9wN7AUODSKk+eqUYNIM3K87AOYfX0GAXcBZxR31YhIIU/dRY6XvQ5sgRkl+rvlkqQBVRyIwsA/CPgmcAhmIaYHgbMxG7Utw+xW+zXgVuC9wAXAhZj9S84IA/9CzK1yp0Zxon/oRQqOl+0F/BoYhvlF47g8dTvtViVSt6ZjAtGuKBBJH1RjymwVcGEUJw9GcfIvzGjQVsABwNQoTl7GhKF9wsAfXrzmbOBVoA24AnhMYUhkHcfLdsHsTzYGeAz4XJ66q+xWJVLX1EckFal4hCiKk0eBRwHCwN8LeD9mBOgszLQYwKLi83jgeuBeTJC6Gtg3ipNzuj5vGPhDgCHAyEprFGkkjpdNxOxcvxXwJODlqbvcblUidU93mklFqtZUHQb+ROA+4JooTv68gdPyKE6mYfqL9gAOB6aFgT8zDPy0CEElUzD7Mz1brRpF6p3jZeOB32KmlJ/H7E+2yGpRIo1BgUgqUpVAFAb+eMxvtA8DFxcPvwGMLb4eXXx+HaDYh+SG4tyzgNOL7x9S9rSlpbt3q0aNIvXO8bLRmOXndwfmYHaun2e3KpGGsXZxxmJ7G5FeqTgQhYE/EvgN8DJwHjAmDPzRmGm048LA3x5z19kTUZysLK45AJhXjBa1YabUlhdfAxDFSXuxOdxSRJqc42VDgV9i7sp8AxOGZtmtSqShzCg+j8W0Z4j0SjVGiD6HuXvs45h/yBcCGSYcDQSeAd4FnFK6oOg7Oqs4vALzW/FEzJ00Ii3F8bLSLfUHYnbt/kSeutqxW6QX8tRdgfnFHNRYLX1Qjabq2zHrDXXnIxu5Li8+T8UsOifSchwvG4C5C/PTQDvw6Tx1/2a3KpGGNR3YHtNH9LjlWqTBaKVqEUuKPofvAscCnUCQp+4jNmsSaXBqrJY+UyASsee/WDd1fEKeuvfZLEakCWjXe+kzBSIRCxwvOxsTiADOylNX08YildMIkfSZApFIP3O87HjMVBnApXnqXmexHJFmUgpEk4v+PJEe0x8YkX7keJmPaaIG+A7wDXvViDSdmUAHZv+/be2WIo1GgUikHzheNtHxsnMxt9e3AT8GztfO9SLVk6duB/BCcahpM+kVBSKRGnO87CRgFnANMBizE/cpeequsVqYSHNSY7X0iQKRSA0VG7XezNv/ru0FbG2nIpGmp8Zq6RMFIpHaei/r/z1rAyZbqEWkFZQCkVarll5RIBKpEcfLhgOXdPOtTtbtuyQi1aURIukTBSKRGnC8rA2zJc27gGVAqV+oEzgtT93ZtmoTaXKlHqKdin0CRXqk4r3MRKRbVwGHAauAQ4AXMdNkMxSGRGrqVWA5MBzYkXUjRiIbpUAkUmWOl50JnFscnpin7h+KrxWERGosT901jpc9j7l5YRcUiKSHNGUmUkWOlx0KfK84/Gqeuj+zWY9Ii1IfkfSaApFIlThe9h7gTszfq1uBy+1WJNKyFIik1xSIRKrA8bJJQIrpW/gtcLpWoRaxRoszSq8pEIlUyPGyscCvMYstPgUEeequtlqUSGvTCJH0mgKRSAUcLxsM3APsibm75VN56i6xW5VIyysFoonFemAim6RAJNJHjpc5mG05PgIsxYShV+xWJSJ56i4A3iwOtSq89IgCkUjfXQIcj1ls8fA8df9ptxwRKaNpM+kVBSKRPnC87Djga8XhF/PUvd9mPSKyHjVWS68oEIn0kuNlHwZ+WBxelafuTTbrEZFuaYRIekWBSKQXHC/bA7gXGATEwBS7FYnIBmjXe+kVBSKRHnK8bGvgN8AY4HHg+Dx112z8KhGxRCNE0isKRCI94HjZCOA+YBIwA/hMnror7FYlIhsxo/g83vGycVYrkYagQCSyCY6XtQE/BfYBFgCH5Kn7ht2qRGRj8tRdilkbDDRtJj2gQCSyadcAnwHaMSNDz2/ifBGpD5o2kx5TIBLZCMfLzgbOLg6Pz1P3MZv1iEivqLFaekyBSGQDHC/7DPCd4vDCPHXvslmPiPSaRoikxxSIRLrheNm+QAQ4wE3At+xWJCJ9oMUZpccUiES6cLxsR8wdZcOAacCZeermdqsSkT5YO0JU7D0oskEKRCJlHC/bDLPW0JbAk5g9yjrsViUiffQisAYYAWxtuRapcwpEIgXHy4YAvwB2A+Zgdq9/y25VItJXeequAl4qDjVtJhs10HYBIvWgGE7/IXAg8BZmraE5VosSkWqYDuyMCUSPWq5FuggDf0vgKOB44NgoTp4OA38f4EZgT8z/vzOiOHmsy3UDgKuAEzG9nncBZ0Zx0tnXWjRCJGL8N3AM0AkEeepmdssRkSpRY3WdCgN/FDALOALYu3hsAGak/k/AZEzrwm3dXH4SJgwdDHwKE6iOqKQeBSJpeY6XnQBcWhyenqfuAxbLEZHq0q339WsFZjuksOyx4cDPgCujOJkDPAxs1c21rwPnRXHy1yhO/gTM38B5PaYpM2lpjpd9FLilOLw8T91bNna+iDQcLc7Y/0aGgT+67Lg9ipP2ridFcdIBzA8Df4eyx5YCFwGEgT8QOBmY2s21SenrMPA/iQlD91RStEaIpGU5XvYOzNDsQOBO4GK7FYlIDZQC0eRiX0KpvWeBxWUfU/r4PDcBm2/s+jDwXcyacWdHcfJyH18H0AiRtKi5qzcD+DUwGvgjcGKeumusFiUitfAKZh/CIZjpmRftltMSdgPmlh2vNzq0KWHgXwUcBOwfxcmSDZyzM/AA8L0oTm7uS6HlFIik5SztHIo362KA7TG/Pfp56q60W5WI1EKeumscL5uBuWNpVxSI+sPSDYWYnggD/yLgVEzD9JIw8McWz9kRBn5bFCedYeBPAH4H3A98pzino5hy6xNNmUlL6cgHEM4+j7+v3BngDczt9QsslyUitaXG6sZyOTAGeAJYWHzsHwZ+APytOOdUYEfMnWalc9JKXlQjRNIy8hzOnnsy6VvvZajTzsp8yKfz1H3Bdl0iUnNqrK5jUZzMxKwlVDre2DYrcXHO14CvVbMOjRBJy/jOgk/zgzcPwWENUyd+lzx1/2S7JhHpFxohkk1SIJKWcM/i/Tj/tRMA+NbWt/O5McpCIi1EizPKJikQSdN7YvmuHDP7HHIGcMa433Du5r+0XZKI9K/SCNEkx8uGWq1E6pYCkTS1F9q35tOzvsLKfAifGvUXvjfhhzgbm50WkWY0H1iC6VPZ2XItUqcUiKRpvdkxkkNmXcLrnWN519AXuHPiNQx0tNSQSKvJUzdHjdWyCVW5y2wDu9WGmP1IShZEcTI+DPz9gbuBpcChUZw8V40aRMq1rxmI//IUpq/alu0GvU466RuMbNNSQyItbDqwD+ojkg2oOBCV7Vb7T4rdagsTgMcArzgu/Wp+AXAhZsXQM8LAvxC4Fjg1ipO80npE1uQOJ875Ev9v+Z6MHrCMX0/6BtsMWmi7LBGxS43VslHVGCEq7VY7HHip7PEJwJwoThZ1OX8AMBsYBGwNXAE8pjAk1XLp/JBo8YcYSAf3bH8l7xw6y3ZJImKfbr2Xjao4EHW3W21hG2C/MPBnA68DF0Rx8iBwPXAvsAq4Gtg3ipNzuj5vGPhDMHvPjKy0Rmkdt775Mb75+uEA3LztD/jYyMxyRSJSJxSIZKNq2VR9C3AZ8HHM8tt3hYE/OIqTaZjda/cADgemhYE/Mwz8tAhBJVMwu+Q+W8MapYn89q29Oe3V0wG4ZIu7OHGzhy1XJCJ1pDRltpXjZaOtViJ1qZaB6Dngp1GcPIPpERoHbAsQxUkncANwMXAWcHpxzSFl15f2MtmthjVKk8hWTuLzr/wnnbRxzJhH+NqWke2SRKSO5Km7GJhXHOpOM1lPLQPRr4A7wsDfBnMH2pvAHIAw8A8A5hWjRW3AImB58TUAUZy0F7vl9nnnWmkNc1aP41MzL+GtNcM5YPjT/HDb67TWkIh0R43VskG1DEQnY0aEZgA+EERxsgogipNHMSNDYJqq7wcmAtNqWI80obc6h+LNupjZHePZbcgr3DvpcoYM6LBdlojUJ/URyQZVbbf7bnarfRLYbyPn58XnqcDUatUhraMjH8ARr1zAP1fuxJZti/jNpK+zWdsy22WJSP3S4oyyQVqpWhpSnsNZc0/h/qXvYZjTzn2TvsmOg+fbLktE6ptGiGSDFIikIV39hs+Nb34ShzX8dLtvs+/w5zd9kYi0urU9RI6XqdNQ3kaBSBpLewf/Ne9I/nPeCQB8e+vbOGz0n+3WJCKN4gUgx9zBvIXlWqTOKBBJ43htGfzva1z2+pEAfGTEk5y9+X2WixKRRpGn7grg5eJQ02byNgpE0hjaO+D5t+9H9uiydzCnY3NLBYlIg1JjtXRLgUgaw4r1b6XvpI0Z7RMsFCMiDawUiD7meNlEq5VIXVEgksbQzda/bXQyecjc/q9FRBpZaVj5KGCW42Un2SxG6ocCkdS/PIeXl7ztoTY6uWmbG5g4aIGlokSk0RQjQkeUPTQAuEkjRQJVXJhRpGbmL4clq2CAA+8cz+8Xn8bkIXMVhkSkt3ahbAHhQhumwXp2/5cj9UQjRFLfVq+Blxabr7cfBaOHcODIpxWGRKQvngfWdPP4Nx0v26Gfa5E6o0Ak9W3WYhOKhg2EbUfZrkZEGlieurOBU4HO4qE1QDvwfiBzvOx4LdjYuhSIpH69tQrmFnuTTR5rpsxERCqQp+6twA7Ah4FJwJ7A48Ao4MfAzx0vG2+rPrFHgUjqU57DjGLdoS2Gw9ihdusRkaaRp+7sPHUfKT6/AHwI+ArQAXwWeNrxskOsFin9ToFI6tPcZbB0NbQ5sNMY29WISBPLU7czT93LgX2BZ4CtgF87XnaD42Uj7FYn/UWBSOrPqk6YWTRS7zAGBrfZrUdEWkKeuv8A9gG+Wzz0H8A/HC97n7WipN8oEEn9eWkxdOYwYhBM0C9nItJ/8tRdkaful4GPYW7F3wV4zPGyrzleNshudVJLCkRSXxa1m3WHwDRSO2qkFpH+l6fuQ4AL/AyzVtGlwOOOl/2b1cKkZhSIpH6syeGFopF66xEweojdekSkpeWpuzBP3aOBEFiEmU77h+NlX9Tt+c1HK1VL/Xh1KSzvgIEDTO9QnXCufLObndR6L79wnP4BFWlAeere6XjZH4HbMFNp1wGHOl72hTx1X7VbnVSLRoikPrR3wKxiv7KdxsAg/dEUkfpRLOp4MPAlYGXx9VOOlwVWC5Oq0U8dqQ8vLDZTZqMHw5bDbVcjIrKePHXX5Kl7LfBu4O/AOOBux8vucLxsrNXipGIKRGLfmytgwQrz9eTN1EgtInUtT93/A/YDvoHZ/uMYzNYfB9qsSyqjQCR2debwwiLz9bYjza32IiJ1Lk/dVXnqXgLsD7wAbAc87HjZ1Y6XaWn9BqRAJHbNXgIrO2HwANh+tO1qRER6JU/dPwF7AzcDDnAe8BfHy/a2WJb0gQKR2LNiNbzylvl6p7Hm7jIRkQaTp+7SPHVPAw4F5gPvAP7X8bILHS/TUvsNQj+BxI68mCrLgbFDYPww2xWJiFQkT90UE4Z+CQwCrgAecbxsR6uFSY8oEIkdb6yAhe1mgFkrUotIk8hT93XgMOAkYCmmxyhzvOxELeZY3xSIpP91rIEXi81btxsFw9RILSLNI0/dPE/dH2G2/vgjMBL4EXCP42VbWC1ONkiBSPrfy0vMjvZD22CiGqlFpDnlqfsScCBwEbAaM3L0lONln7JZl3RPgUj617LVMGep+XrnsdCmEWQRaV556nbmqXslsC/wL2ArIHW87EbHy0barU7KKRBJ/8lzmFFs3rr5MBinRmoRaQ156v4Tsznst4uHTsNsFPt+a0XJ2ygQSf+ZvxyWrIIBDuxcP5u3ioj0hzx1V+apex7wUWA2MBl4zPGyyxwvUzOlZdrtXvqF42Xj1m7YOmk0DNEfPRFpTXnqPux42TuB64CjgUuAQxwvOyZP3WftVte/wsDfEjgKOB44NoqTp8PA3we4EdgTmA6cEcXJY91c+2XgfMwSBz8GLoziJO9rLRohkv7yTVavgeEDYRtNm4tIa8tTd1GeuscARwALgfdgptDOdLysJX42h4E/CpiFeQ/2Lh4bAPwC+BNmBO1J4LZurt0TuBo4EbMg5pnAIZXU0xJvutjleNm+mPlys3nrADVSi4gA5Kl7N/BO4LfAUOBa4H7Hy7a1Wlj/WAFMAsKyx4YDPwOujOJkDvAwphG9qw8Bz0dx8tsoTv4MPF481meat5CaKpatvwFw2HI4jBliuyQRkbqSp+4cx8s+AZyBGfX4OOb2/P8oAlOjGRkGfvmaKu1RnLR3PSmKkw5gfhj4O5Q9thSzTAFh4A8ETgamdvMaW2AWvixZVDzWZxohklr7D+DdwGJ2VCO1iEh3isUcrwfeBfwV2Ay4y/GyqY6XjbVaXO89Cywu+5jSx+e5Cdi8F9f3uX8IFIikhhwv2xr4ZnH4FQZrj0MRkY0pmqr/Hfg6sAbTdP2U42WHO172YcfLJlotsGd2A8aUfVze2ycIA/8q4CDg4ChOlnRzyhvA2LLj0ZiNdftMU2ZSS9/C/GX4GybpX2+3HBGR+pen7mrgUsfLfgPcgWkuvqv49hrHy07NU/dWawVu2tINhJgeCQP/IuBU4GBgSRj4Y4vn7AgDvy2Kk07gD8B1YeB7wGuYEHlNJUVrhEhqwvGyA4FjMEOYp+ep22m3IhGRxpKn7hPAp3j7VNAA4KYGGSnqq8sxv0w/gbkDbyGwfxj4AeYXbKI4eRo4F7gZuB+4LoqTByp5UY0QSdU5XjYY+EFxeGOeun+xWY+ISAPbFuh6a24bZtRodv+XU31RnMyk7L8xipON3Yocl533XeC71apDI0RSC18GdgdeB75quRYRkUb2PKaXqFwnMMNCLU1NgUiqyvGy7YFLi8Pz89RdaLMeEZFGlqfubEw/TantoBM4rXhcqkiBSKrtu5iFtf4fphlQREQqUDRQ7wB8GNihzhuqG5Z6iKRqHC/7FHAY0AGckaduRWtCiIiIUYwIaVSohjRCJFXheNkwzJLzAN/JU/dpm/WIiIj0RlVGiDawW+32wO3APsBzwBeiOMnCwN8fuBuz5PahUZw8V40axLopwI6Y32Aus1xLfbpop+qMmF3xojaDExGpsopHiLrbrbZwNbAM2BN4CijNeV4AXAj8BDgjDPyhYeDfEga+/pFvUNPbtwHz/xTg7Dx1l27kdBERkbpTjSmz7narBTgAmBrFycuYMLRPGPjDi9ecDbyKWUvhCuCxKE7Ub9KA8hy++OqpAIOBacC9disSERHpvYqnzLrbrbZQvhPtouLzeMz2DfcCqzCjSPtGcXJO1+cNA38IMAQYWWmNUjvxkg/w4LK9AdqBs9RILSIijai/m6rzKE6mYXav3QM4HJgWBv7MMPDTIgSVTMHskvtsP9coPbSkcxjnzD2pdHh5nrpaKExERBpSLQNR+U60o4vPrwMUG7PdAFwMnAWcXnz/kLLrS3uZ7FbDGqUC/z3/SOZ2jGPnwXMBrrRdj4iISF/VMhA9ChxX3G12IvBEFCcrAcLAPwCYV4wWtWGm1JYXXwMQxUl7sVuuGnTrULZyEt9f4AFw3YSbyVN3peWSRERE+qyWgeg8TI/SM8C7gFNK34ji5FHMyBCYpur7gYmYplypc2tyh9Nf/Q86aePzox/jE6P+YbskERGRilRtpepudqt9GfjIRs7Pi89TganVqkNq7/ZFH+bx5bszYsAKvjPhR7bLERERqZhWqpZeWdAxigteOwGAr215JxMHLbBbkIiISBUoEEmvfGXeMSzoHM07hsziS5untssRERGpCgUi6bEnlu/KLQsPAuCGbW5kkNNpuSIREZHqUCCSHunIB3DGq6eRM4ATxj7E/iP+z3ZJIiIiVaNAJD1yw5uf5B8rd2aztre4auvbbZcjIiJSVQpEsklzV2/GxfOOAuDyre5gi4FLLFckIiJSXQpEsknnv3YCS9aM4L3DpnPyZg/aLkdERKTqFIhkox5e+k5+tvgAHNZwwzY30eassV2SiIhI1SkQyQatWjOQL849FYAzxt3Pe4a9YLkiERGR2lAgkg369oJP82z7dmzZtohvbPUz2+WIiIjUjAKRdGvWqi24bP4RAFwz4TbGti2zXJGIiEjtKBBJt86eezIr8iEcMPxpjh7zqO1yREREakqBSNZz35L38su33sdAOvjBNjfiOJu+RkREpJEpEMnbLF8zmC/NPRmA88b/kj2GzrZckYiISO0pEMnb/M/rn2fm6q3YbtDrXLLl3bbLERER6RcKRLLWc+3bcNUbhwHw/Qk/ZMSAdssViYiI9A8FIgEgz+GLr57G6nwQnxr1Fz4z6s+2SxIREek3CkQCwF2L9+ehZXsx1Gnn+xN+qEZqERFpKQpEwuLO4Xz5tS8A8JUt7mGnwfMsVyQiItK/FIiE/5of8lrHOHYZPIcLxt9ruxwREZF+p0DU4v65YkeuXXAIANdNuIWhA1ZbrkhERKT/KRC1spUdHP3Kl1lDG4eP/iMfH/VP2xWJiIhYMdB2AWLJa8vg+YU8w/ZAznuHPW+7IhEREWs0QtSK2jvg+YVlDzhcNO84Zq/e3FpJIiIiNikQtaLlHes91EkbM9onWChGRETEvpafMnOufDOvxvPkF45rnJV7Fq+/AnUbnUweMtdCMSIiIvZphKjVLG6HV95620NtdHLTNjcwcdACS0WJiIjY1fIjRC1lVSc8W4SeLYbDDqP5/esnM3nIXIUhERFpaQpErSLP4bk3YdUaGDYQdhkLbQM4cOTTtisTERGxTlNmreLlJbCoHQY4sPvm0Kb/9SIiIiX6qdgKFq6El4u+oV3GwohBVssRERGpNwpEza69A55903y99QjYcoTdekREROqQeoia2ZrchKGONWZUaOextisSERFZKwz8LYGjgOOBY6M4eToM/IHAJ4ATgOeiOPnqBq69BDgTGArcC5waxcmqvtaiQNTMZi6GJaugregbGtA4SyWJiEhzCwN/FDAL+Cewd9m3fgq8CxgNzNzAtXsDlwFe8Rz/D/gj8MO+1qMps2b1xgqYs9R8ves4c2eZiIhI/VgBTALCLo+fE8XJrsCzG7m2tKjyLOAVoB1YfxuGXtBPyWa0ogOmF31D246E8cPs1iMiIq1kZBj4o8uO26M4WW+LhChOOoD5YeDv0OXxTW6bEMXJk2HgXwc8CawB/gDcXknRGiFqNmtys/hiZw6jBsMOY2xXJCIireVZYHHZx5Rqv0AY+O8GTgYC4KPAXsCRlTynRoiazQuLYOlqGDgAdh+nviEREelvuwHlozzrb6BZuY8BL0Zx8guAMPAfAj4JRH19QgWiZjJ/Oby2zHz9b+NgiP73iohIv1saxcmSWjxxGPhtUZx0As8AO4eBfyAwH/h34PpKnltTZs1i+Wp4fqH5ertRMG6o3XpERESqKAz8APgbQBQnKfAt4C7gceAh4LuVPL+GEJpB5xr4vwWmf2jMEJg0etPXiIiI1IEoTmYC6/V3RHFyYJfjGIjLji8BLqlWHRohanR5DjMWwfIOGDwAdhsHjvqGREREekOBqNG9tsz0DgHstjkMbrNbj4iISANSIGpkS1eZu8oAdhhtpstERESk1xSIGlVH0TeUYxqoJ46yXZGIiEjDUlN1tVy0U77pk3rgihc33QCU5zB9IazshCFtZmsO9Q2JiIj0mUaIGtGrS2HBCtOTv/vmMEj/G0VERCpR0xGiMPAfAD5e9tA1mD1HTgfuA46O4qQ6IystwvGy/dbenLjTWLM9h4iIiFSk1lNmE4AvAj8rjocDfwbeB/wE2DsM/FHAblGc3FzjWhqe42XjgbvJMRu2ThhhuyQREZGm0B+B6KUoThaBWXIbWAHMBJYA44DLAa/GdTQ8x8sGAHcAExk2EHbZTH1DIiIiVVKzQBQG/mBgc+BbYeD/EPgTcBrwKGb324cxO9V+I4qT+d1cPwQYAoysVY0NZgrwCWAlu48bykD1DYmIiFRLLX+q5sCZwJeBzwIu8N9RnJyCmTq7DVgK+GHgvxIG/uldrp+CCU7P1rDGhuB42YeBy4rDMxihviEREZFqqmUgagN+GcXJ76I4+TOQYEIRwNbAeZg+oncCIXBpl+svB8YAu9WwxrrneNkEIML8v7otT93bLJckIiLSdGrZQzQZeCoM/COBvwAHA38ovncpcBbQAawCFtBlY7coTtqB9qLpuiU5XjYQuBPYCngKM+ImIiIiVVazEaIoTp4GvoS51f6fwAzWjQKdGsXJE8DfgXnA/wLfr1UtDewy4EOYqcXP56m73HI9IiIiTammd5lFcXItcG03j+fF5zWY/iLpwvGyT2H6qABOylN3us16REREmpm27qhDjpdNwtxiD3Bdnrp326xHWli1tqSBnm1LIyJiie7drjOOlw0G7gY2w/RenW+3IhERkeanQFR/rgb2BRYCQZ667ZbrERERaXoKRHUkXvzvYO6+AzguT91ZFssRERFpGQpEdWJ6+zacNGftXfVX5qmb2qxHRESklSgQ1YEVawYTvHIBb60ZDmatpostlyQiItJSFIjqwJmvnkq2cke2bFsEcGSeuh2WSxIREWkpuu3esh8v/Ag/WvQxBtBJtN01fOS6X861XZM0PufKN6tyu3z17rkXEalvGiGy6KmVkzjj1dMA+NqWd/KRkU9ZrkhERKQ1KRBZ8lbnUIKXL2BFPoSDR/6dr2zxc9sliYiItCwFIgvyHE559Ys8t2oiEwe+wdSJ32GAo8kJERERWxSILPjBm5/krsUfZCAd3L39txg/8C3bJYmIiLQ0BaJ+9pflk/nya18A4Kqtb2e/4c9ZrkhEREQUiPrRws4RBK/8J6vzQRw2+k+cs/l9tksSERERFIj6zZrc4fjZZzNr9ZbsNOg1frTtdTja+1tERKQuKBD1k6vf8LnvrX0Z4qzi59tfydi2ZbZLEhERkYICUT/4w7I9+Mq8YwD4/oQf8q5hL1muSERERMopENXYvI4xHPnK+XTSxjFjHuGUzX5ruyQRERHpQoGohjrzARz9yrnM7RjHHkNe5sZtb1DfkIiISB1SIKqhy+YfzkPL9mK4s5J4u6sYMaDddkkiIiLSDQWiGvntW3vz9dcPB+DmbX/AHkNnW65IRERENkSBqAZmr96co2d/mZwBnLbZNI4e+wfbJYmIiMhGKBBV2eq8jSNeOZ83Osfw7qEv8N0Jt9ouSURERDZBgajKprx2LI8v350xA5YRb38VQwestl2SiIiIbIICURUlS97HNQt8AG6b+H12GjzPbkEiIiLSIwpE1dDewU8XfZDjXjkbgHM3/yWHjf6z5aJERESkpwbaLqDhvbYMnl/IMZwHwM6DX+WKrX9iuSgRERHpDY0QVaK9A55f+LaHZq7ainkdY+3UIyIiIn2iQFSJFR3rPdRJGzPaJ1goRkRERPpKgagSw9afcWyjk8lD5looRkRERPpKgagSQwbCLputPWyjk5u2uYGJgxZYLEpERER6S03Vldp6BGw2hN/PP5nJQ+YqDImIiPRQGPhbAkcBxwPHRnHydBj4A4FPACcAz0Vx8tUNXPscsGvZQ2dFcXJdX2tRIKqGIQM5cOTTtqsQERFpGGHgjwJmAf8E9i771k+BdwGjgZkbeYoJwKHAH4vj5ZXUo0AkIiIiNqwAJgHDgZfKHj8nipO5YeA/sqELw8AfAYwCXojiZFE1ilEgEhERkWoaGQb+6LLj9ihO2rueFMVJBzA/DPwdujzekzuTtimdHgb+eGAacGYUJyv7WLOaqkVERKSqngUWl31MqcFrzAfOAc4AjgM+A3yxkifUCJGIiIhU025A+SjPeqNDVdAB3BnFyTyAMPB/D7iVPKECkYiIiFTT0ihOltTiicPAb4vipBM4EEjCwP8osAD4APDtSp5bU2YiIiJS98LAD4C/AURx8mvgKuDnmLvM7geureT5NUIkIiIi1kRxMhNwunn8wC7HMRCXHX8V6HaNor7QCJGIiIi0PI0QiUjdcK58M6/G8+QXjlvvt00RkY3RCJGIiIi0PAUiERERaXkKRCIiItLyFIhERESk5dW0qToM/COAy4HNgHuB04GvF5/vA46O4qQqTZQiIiIifVWzQBQG/ubAbZi9Rf4MPAicD4TA+4CfAHuHgT8K2C2Kk5trVYuItJiLdqrOL1pXvKi71URaRC2nzPbFLLT04yhOngF+g1lqewUwE1gCjAOuBpIa1iEiIiKyUbWcMtsCWFY2JbYI2Al4FLP77cPAycA3ojiZ3/XiMPCHAEOAkcVDW4WBX/Uih7pXV+V5FnRU5608M/C33dQ51aoZGrPu/qwZGrPueqsZGrPuntScuFfPrsqLAbMXH1KV5zlz1h4TN3VOter2s/M3+VrSMrayXUAlnDyvTQtPGPjHAd+O4mR8cXw18K4oTj4aBv4g4HPAR4E24CDgf6I4uaHs+v8G/qsmxYmIiEitvCeKk7/bLqK3ajlC9AYwKgz8AVGcrAFGA6WRoK2B84BzMbvThpj9SW4ou/5y1u1cuztQtd/CmthI4FlgN2Cp5Vqaid7X2tD7Wht6X2tD72vPbAX8w3YRfVHLQPS/QCdwWhj4vwc+CXyj+N6lwFlAB7AKWECXjd2iOGkH2ovDP9ewzqYRBv7o4su5UZwssVpME9H7Wht6X2tD72tt6H3tsTm2C+irmjVVR3HyBnAi8J/An4DfAj8uvn1qFCdPAH8H5mHC0/drVUsLaQe+xrogKdWh97U29L7Wht7X2tD72uRq1kMkIiIi0ii0UrWIiIi0vJquVC3VFwb+lsBRwPHAsVGcPN3l+5sBP8LcwTcHOCOKk98Xd+15UZzs088l170w8C/ANPiPAKYBJ0Zxsqzs+3pPeykM/IHAN4FTi4dS4JQoTlaWnaP3tQJh4MfA56M4cbo8rve1D8LAfwD4eNlD10Rxcn7Z9/W+NjmNEDWQYlXvWcARwN4bOG0KsB2wF3APMDUM/MH9UmADCgP/IMwP7mOB/YAPAmd3OU3vae8dDZwCeJj39WOsC0clel/7KAz8TwOHbeDbel/7ZgJmZ4XNio+Lu3xf72uTUyBqLCuASZhlCjbkAODnUZy8BNwIbAPsXH5CGPi3hIE/Kwz8CTWrtHGsAi6M4uTBKE7+BTzH+ouL6T3tpShObo/iZFwUJ48Br2He59VdTtP72gfF3U7XA9du4BS9r30zAXgpipNFxcfKLt/X+9rkNGXWQKI46QDmh4G/w0ZO24J1a2QsKnsMgDDwLwIC4ANRnMytQZkNJYqTRzGrpxMG/l7A+4ELu5ym97SPwsDPgD2ARzA/RMrpfe2bK4HfAQ8B53Tzfb2vvVSM9GwOfCsM/B9i7ow+LYqTBWWn6X1tchohag2lWwl3Bf4HuKQYDZFCGPgTgfswfQM9WfdK72nPHAIcjJlmOKEH5+t93Ygw8PcHfMxG2b2h93XjcuBM4MvAZwEX+O8eXgd6X5uCAlHzeQMYW3xdWkistEL4cOAPwLlFP5IAYeCPx/zG/TDr9w2A3tNeCwPfDQP/oChOZkdx8hDwe8zmzuX0vvbexZiRjBeBOwHCwF/U5Ry9r73XBvwyipPfFb8QJZhQVE7va5NTIGoCYeC3lR0+ChweBv5OmCbW2cALxff+ifmNfTXw3X4ssW6FgT8S+A3wMmY7mTFh4I/We1qxvYBfhIH//jDw98Q0Vv9D72vFTsCMRuwNfKl4bG+9rxWbDMwOA/+I4n07GMj0vrYWBaLmcG8Y+OcWX/8P5i/pP4HDgWOK3iMAojhZjrll//gw8D/T34XWoc8B78XcbvsGsBDI0HtaqanATZhpyD8Un69H72tFojh5LYqTmVGczKQYnSi+1vtagWL5ki8B12DetxmYLab0vrYQrVQtIiIiLU8jRCIiItLyFIhERESk5SkQiYiISMtTIBIREZGWp0AkIiIiLU+BSERERFqeApGIiIi0PAUiERERaXkKRCIiItLyFIhERESk5SkQiYiISMtTIBIREZGWp0AkIiIiLU+BSERERFqeApGIiIi0PAUiERERaXn/H4CKmLY98AuxAAAAAElFTkSuQmCC);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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ltNlVLNWcgkqS1OWUm1ZyBSJLWZlO1VHMGIklamxUiqeYMRJK0NpuqpZozEEnS2myqlmrOQCRJa3PKTKo5A5Ekrc2maqnmDESStDYrRFLNGYgkaW02VUs1ZyCSpLXZVC3VnIFIktbmlJlUcwYiSVqbTdVSzRmIJGltVoikmjMQSdLaigrRQqPZOmKqI5FUCQORJK1tX8d9p82kGjIQSdLa9nfcd9pMqiEDkSStob202AYO5A+tEEk1ZCCSpMHYWC3VmIFIkgbjbtVSjRmIJGkw7lYt1ZiBSJIG45SZVGMGIkkajFNmUo0ZiCRpME6ZSTVmIJKkwThlJtWYgUiSBuMFXqUaMxBJ0mCsEEk1ZiCSpMHYVC3V2MZpD0CSZoRN1VLJojA4CbgQuBi4KE7Su6IwOAu4HjgD+BpweZykd/R4/gbgDuD5cZJuH2csVogkaTBOmUklisLgaGAXcAFwZn5sA/AJ4AvAacCXgZv7vMxbgZeVMR4DkSQNxqZqqVz7gFOBqOPYZuDjwPvjJH0AuA04uduTozA4BfhN4IYyBuOUmSQNxgqRNJgtURhs7Xh8IE7SAytPipP0ILA7CoPtHcf2AlcCRGGwEbgUuKXH+1wPfBD4LvCz4w7aCpEkDcamamkwdwOPd3xdNeLr3AAc3+35URj8Mll16X0jvvYqBiJJGoxN1dJgTgeO6fi6etgXiMLgGuA84Pw4Sfd0OeU3gRcBu4FrgFOiMGiNPGKcMpOkQTllJg1mb48QM5AoDK4EdgDnA3uiMDg2f82DURgsxEl6CHglyxnm9fn5rxpn0AYiSRqMTdXSZBQVpTs7jp0bhcGJwLuBM+Mkvb/4RhQG3wUOdh4bhYFIkgZjhUiqQJykO4FGx+NG77NJujz/OuC6ccdhD5EkDcamaqnGDESSNBibqqUaMxBJ0mCcMpNqzEAkSYOxqVqqMQORJA3GCpFUYwYiSRqMTdVSjRmIJGkwh5uqG81Wv2XBkmaQgUiSBlMEogZw5DQHIql8BiJJGsz+jvs2Vks1407V0hgazdY24MXAve2lxbG2jde69xTQJqsQPZfsKt6SasIKkTSiRrP1RmAXcBuwK3+smmovLbaxsVqqLQORNIK8MnQjy/+GNgA35MdVX+5WLdWUgUgazYtZ/e9nAThtCmPR5LgXkVRTBiJpNPcCz6w4dgj4+hTGoslxt2qppgxE0gjyBuobOw49A1xmY3XtWSGSaspVZtLo7u24f2l7afHmqY1Ek2JTtVRTVoik0b2w4357aqPQJNlULdWUgUgaXWcget7URqFJcspMqikDkTS6zkB03NRGoUmyqVqqKQORNDorRPPHCpFUUwYiaQT51c4NRPPHpmqppipdZRaFwQJwFXAJ8E9xkjajMDgF+BhwFnAP8IY4SVtRGJwN/CmwF3h1nKT3VDk2aUwn8OwrnjtlNh9sqpZqqupl938A/CJwOXB7fuxa4AngDOC9wE3Ay4B3AVcApwKXR2FwBfAhYEecpK7g0XrzwhWPrRDNB6fMpJqqLBBFYXAy8KvAL8ZJ+mcd3zoH+PU4Se+LwuAm4L9FYbCZbPrufuAI4PuA9wF3GIa0ThWBqLj6uYFoPthULdVUlRWil5Nd2+l1URhcB9wFvAk4kWxaDOCx/PYE4MPAJ4GnyKpIL4+T9G3dXjgKg03AJmBLRWOX1lIEom8AL8Ips3lhhUiqqSqbqo8j++v5DuDngJOB3+1xbjtO0luB44EfBF4H3BqFwc4oDJbyANTpKuBx4O5KRi6trQhEX8lvj2s0WxNbpNBotrY1mq1zG83Wtkm9pwCbqqXaqvIH+G5gX5ykfxgn6d8DfwwsAo8Ax+bnbM1vHwaIk/QQ8BHgPcBbgTfn33/Vite+GjgGOL2qwUtrKILIXfltg+y/yco1mq03AruA24Bd+WNNhk3VUk1VGYi+AByIwuAtURhsBwLgS2TN1a/PV5tdAtwZJ+l+gCgMzgEeyqtFC2RTak/m9w+Lk/RAnKR7WJ56kyatqBB9k2yRAExg2iyvCN3I8r/dDcANVoomxikzqaYqC0Rxkj4OvJassforwHeAd+ZfG4GvAi8h6ysqnnM7WWUIsqbqT5P9JX5rVeOURlQEovuBR/P7k2isfjGr/90uAKdN4L1lU7VUW5Uuu4+T9HPA/9zlW6/o85x2fnsLcEs1I5PGVgSiB4DvkgX3SQSie1le2VY4BHx9Au8tK0RSbblTtTSkRrP1XJanx4pABBMIRO2lxfvJpqMLh4DL8uOqnk3VUk1VvTGjVEdFdehJstWOxZTZpJbeP9pxf7G9tPjVCb2vbKqWassKkTS8ooH5gfbSYpsJVohyx3fcX+h5lqrglJlUUwYiaXidDdUw3UB0yoTeUxmbqqWaMhBJw+tsqIblQDSpKbPOQPQvJvSeylghkmrKQCQNb2Ugmtiy+0aztcCzg5eBaLJsqpZqykAkDa9XhWgSU2bH8ewl906ZTVZRIdrUaLYafc+UNFMMRNLwpjlldvyKx1aIJmtfx337iKQaMRBJwzu8yiy/neRO1SsDkRWiydrfcd9pM6lGDETSEPIenufnD6exyqwIRLvz222NZst/xxPSXlp8mmwzTLBCJNWKP0il4ZxEtvfPM8BD+bEiED0n38W6SkUg+ko+hiPyMWlyXGkm1ZCBSBpO0T/07fbS4sH8/vdYrhpU3UdUBKJvAw/m9502myz3IpJqyEAkDWdlQzX5btWT6iMqAtF3gPvy+zZWT5YVIqmGDETScFY2VBcm1Ud0Qn77HeCf8/tWiCbLvYikGjIQScNZVSHKTeoCr1aIps8LvEo15NXupeGsvI5ZYVIVos5AVFzY1UA0WU6ZSSWJwuAk4ELgYuCiOEnvisLgLOB64Azga8DlcZLeseJ5RwEfBC4g+zf5n4F3xknaHnUsVoik4fSqEE0jEDllNh02VUsliMLgaGAXWag5Mz+2AfgE8AXgNODLwM1dnv5O4Bzgx4FXAW8GXj3OeAxE0nDWCkSTmjJ7BKfMpsUKkVSOfcCpQNRxbDPwceD9cZI+ANwGnLzyiXGS/h9xkp4WJ+mXyVbdPgM8Pc5gnDKThrNWD1FlFaL82lmdFaKiUvF9jWbryPbS4lNVvbeexaZqqb8tURhs7Xh8IE7SAytPipP0ILA7CoPtHcf2AlcCRGGwEbgUuKXXG0Vh8BiwFbg5TtJPjzNoK0TSgBrN1lbg6PzhNKbMjgKOzO9/B3gYOEB2sdcX9nqSSmdTtdTf3cDjHV9Xjfg6N5D9Edjv+WcCrwUujMLgFSO+D2CFSBpGEToeby8t7l3xvUlMmRVL7g8AT7aXFtuNZuufyebZ/wXwzQrfW8ucMpP6O53ljWMh+5k1lCgMrgHOA86Ok3RPl+//KNCIk/RvgJ1RGHyFrKfottGGbCCShtFrugwmszHj4emyfDNIyBqrT8PG6kmyqVrqb2+3EDOoKAyuBHYA5wN7ojA4Nn/Ng1EYLMRJegh4JbAjCoOfJqvc/yvg348zaAORNLh+gWgSU2ad/UMFG6snzwqRVK2r89s7O46dG4XBicC7yabJrgW+H7iD7I+UD8RJmo7zpgYiaXDrMRC59H7ybKqWShQn6U6yXsjicaP32ST5OfuAS/KvUthULQ1ukCmzYxrN1kKX75ehc8l9wQrR5NlULdWQgUgaXK/rmMFyIGoAx1T0/v0qRAaiyXHKTKohA5E0uF6X7SDfA6hYeVbVtJlTZuuDTdVSDRmIpMH1mzKD6i/w2nml+0IRiI5tNFtHo0mwQiTVkIFIGkCj2TqC5e3jewWiqhurV1WI2kuLe8g2PgOnzSbFpmqphgxE0mC+j6w/6GmyHaK7mXggytlYPVk2VUs1ZCCSBlM0VD/YXlp8psc5Ve9W3SsQ2Vg9WU6ZSTVkIJIGs1b/EFS/W3W3ZfdgY/Wk2VQt1ZCBSBpMzxVmHSqbMms0W0eyfGFZp8ymywqRVEMGImkwg1SIqpwyK0LWM8BjK75nhWiybKqWashAJA1m2lNmxZL7R7v0MFkhmiybqqUaMhBJgxmmQlRFIOrVUA0dTdWNZqvfNYCmptFsbWs0W+c2mq1ta5+97jllJtWQgUgaTL/LdhSmFYgeANpkFYsTunx/qhrN1huBXcBtwK788SwrpsyOqPC6dZImzEAkrSGvugwzZVZFD1HPQNReWjwAPJQ/XFfTZnlF6EaWf9ZsAG6Y8UrRvo77TptJNWEgktZ2HMu/+AaqEFUwddVryX1hvTZWv5jVP2cWgNOmMJay7O+477SZVBMGImltRXXoO+2lxf19zisC0SbK/0XZb8oM1m9j9b1kK+M6HQK+PoWxlKK9tHiIbMdysEIk1YaBSFrbINNlkF3t/lB+v+xps7UC0brcrbq9tHg/sIPlz+UQcFl+fJbZWC3VjIFIWttAgai9tNimusbqble671RUiNbblBntpcWbgO3AucD2/PGsc7dqqWY2TnsA0gwYZIVZ4bvAiZQfiGayQlTIK0KzXhXqZIVIqhkrRNLaBrlsR6GqlWaDBqJ1VyGqKXerlmrGQCStbdAeIqhuymzQpuoXNJotK7/Vc7dqqWYMRNLaphqIGs3Who7X67Xs/iGylU8bgOeX9d7qySkzqWYMRNLapl0hOoblf6tdK0T59c2KKT2nzapnU7VUMwYiqY9Gs9V5OYxBAlEVPUTFdNne9tLiU33OW9eN1TVjhUiqGQOR1N8L8tsDLFd/+qmiQrTWkvuCjdWTY1O1VDMGIqm/wyvM8n2G1lJFIFqrobqwXnerriObqqWaMRBJ/Q3TPwTVTpkNWiEyEFXPKTOpZgxEUn/DBqIqK0S9VpgV1u1u1TVkU7VUMwYiqb/1FIisEK0fVoikmjEQSf0Nc9kOWJ4yO6bRbC2UNIZhe4hOaDRbm0t6b3VnU7VUMwYiqb9Re4gAji1pDIMGoseBvfn9bf1O1NhsqpZqxkAk9TfMdcxoLy0+DXwvf1jWtNlAy+7zVXAuvZ8Mp8ykmjEQST3kl8wo9iEatEIE5a80G7RCBC69nxSbqqWaMRBJvZ0AHAG0gQeHeF7ZjdXDBCIbqyfDCpFUMwYiqbdiumx3PhU2qKoC0VrL7sGl95NiU7VUMwYiqbdhV5gVSgtE+WqxYlrGCtH6YVO1VDMGIqm3oRqqO5TZQ1RUh55meQVZPzZVT4ZTZlLNGIik3oZdcl8oc8rscP/QgNdSO9xU3Wi2GiW8v7qzqVqqGQOR1Nt6CESDXum+UFSzjqK8fZC0mhUiqWYMRFJvowaiKqbMBgpE7aXFfcDD+UOnzapjU7VUMwYiqbf1UCEaKhDlbKyunk3VUs0YiKTepr7KjOGW3BdsrK6eU2ZSzRiIpC4azdZRwDH5w/WwymyYCpG7VVevmDJbaDRbR0x1JJJKYSCSuiumy/a2lxb3DPncwxWiElZ6OWW2Pu3ruO+0mVQDBiKpu1H7h2A5EB0JbB5zHONUiJwyq87+jvtOm0k1YCCSuhsnED0BHMzvj9tHNOyye7BCVLl8T6gD+UMrRFINbJz2AKR1atSGatpLi+1Gs/Vd4CSyPqJ/XuMp/YxTIdrWaLYW2kuLh8Z4f/W2D9iEFSJpZFEYnARcCFwMXBQn6V1RGJwFXA+cAXwNuDxO0jtWPG8DcA1wCdAA/gR4S5ykI/+8s0IkdTdOhQjKW2k2SiB6EDhE9gfPyWO+v3pzLyJpDFEYHA3sAi4AzsyPbQA+AXwBOA34MnBzl6e/kSwMnQ/8LFmgumCc8RiIpO5GvY5ZYexA1Gi2NrK80m3gZfd5Rehb+UOnzarjXkTSePYBpwJRx7HNwMeB98dJ+gBwG93/sHsYeGecpH8XJ+kXgN09zhuYU2ZSd+NWiMpYel+EqXbH6w3qPrIwdArwt2OMQb25F5HU3ZYoDLZ2PD4QJ+mBlSfFSXoQ2B2FwfaOY3uBKwGiMNgIXArc0uW5aXE/CoOfIQtD//c4g7ZCJHW3HqbMiumyx0boA7Kxunpe4FXq7m7g8Y6vq0Z8nRvIfg72fH4UBotADPx6nKT39TpvEFaIpBXyqarvyx+uh0A0TP9QwaX31bNCJHV3OlkvY2FVdWgtURhcA5wHnB0nade94KIweBHwGeA/xEl64ygD7WQgklY7GVgga0x+aMTXKGPKbJQl9wUrRNWzqVrqbm+vEDOIKAyuBHaQNUzvicLg2Pw1D0ZhsBAn6aEoDJ4P/CXwaeD383MO5lNuI3HKTFqtmC779hhL1qddITIQVc+maqkaV5MtKLmT7I/LR4GzozAIgS/m5+wA/iXZSrPinKVx3tQKkbTauCvMYPqByCmz6jllJpUgTtKdZHsJFY/7XfIoyc95L/DeMsdhhUhabdyGaihnymyUK90XigrRyY1ma9MYY1BvNlVLNWIgklYrIxBNu0L0HZYrGNv6naiRWSGSasRAJK0284Eov9aWfUTVsqlaqhEDkbTayNcx61BMmW3Nl/GPYpxVZmAgqppN1VKNGIik1cpoqu7cWfrYEV9jnCkzsLG6ak6ZSTUykVVmURgkwC/GSdqIwuAU4GPAWcA9wBviJG1FYXA28KfAXuDVcZLeM4mxSZ0azVaDEqbM2kuLBxvN1h5gK9m02SiN0eMGIitE1bKpWqqRyitEURj8HPDzHYeuBZ4AzgC+AtyUH38XcAXwn4DLozB4ThQG/zEKg37L76SybQWOyu+PM2UGY/QR5cGseN4oYQqsEFXNCpFUI5UGovzibh8GPtRx+BzglvyaIzcBZ0VhsDkfy/1kV+leAN4H3BEnabvKMUorFNWhx9pLi0+O+VrjLL3fynIF1wrR+mRTtVQjVU+ZvZ9sa+2/Bt6WHzuRbFoM4LH89gSy4PRJ4CmyKtLL4yQtnvMsURhsAjYBWyoYs+ZbGQ3VhXFWmhXTZU+2lxb39z2zt6JCZCCqhk3VUo1UViHKe4IC4DcGOL0dJ+mtZL8EfhB4HXBrFAY7ozBYygNQp6vIrqB7d4lDlqCcJfeFMgLRqNUhWK4QHdNotraO8TrqzikzqUaqnDJ7D9kP9W8AfwwQhcFjZP0Qx+bnFD+kHwaIk/QQ8JH8uW8F3px//1UrXru4zsnplYxc86yMFWaFcabMxl1yT3tp8YmOMVglKp9N1VKNVBmIfgX4AeBM4N/kx84Ebgden682uwS4M07S/QBRGJwDPJRXixbIptSezO8fFifpgfxKuiNf1VbqoU4VIrCxukpWiKQaqSwQxUn67ThJd+YXbdudH9sJvJOsd+mrwEuAN3U853ayyhBkTdWfJuvpuLWqcUor1C0Q2VhdHZuqpRqZyD5EcZIukV/JNl9d9oo+57bz21uAWyYxPqlDmYGomK4aJxCNuuS+YGN1dWyqlmrEnaqlZ6tildkoPURlV4icMiufU2ZSjRiIpFyj2ToSOCl/6JSZ1mJTtVQjBiJp2fPz26cYf6oKypkys6l6/TpcIcp3Fpc0wwxE0rKif+hb7aXFZ0p4vcNTZiP8whx72X2uqBBt85d26YoKUQM4cpoDkTQ+A5G0rMyGalgOREewfH20QZVVIXoAaJPt7H7imK+lZ9vXcd9pM2nGGYikZWUHoifJpt9g+GmzUgJRe2nxaeDB/KHTZuV6iixsgo3V0swzEEnLylxhRntpsc0Iu1U3mq3nAJvzh2X0MtlYXYH8/18bq6WaMBBJy8q8bEdhlJVmRXXoILCnhDHYWF0dl95LNWEgkpaVPWUG4wWi7+ZViHFZIaqOu1VLNWEgkpZVEYhGucBrWQ3VBXerro67VUs1YSCSgHxJ+nqpEJW15L7gbtXVccpMqgkDkZQ5nmxpOsC3SnzdcabMrBCtfzZVSzVhIJIyRXXokfbS4oESX3eU3arLDkRFhegFjWbriJJeUxkrRFJNGIikTBUrzGC0C7yWdaX7wsNke+Y0gBeU9JrK2FQt1YSBSMpU0T8E62DKLL8MiSvNqmFTtVQTBiIpU1UgWg9TZmBjdVWcMpNqwkAkZaquEE1z2T3YWF0Vm6qlmjAQSZlSL9vRYT0suwcrRFWxQiTVhIFIylRdITp6iBVeVU6ZWSEql03VUk0YiKRMVavMHuu4f+xaJzearYWO86qYMrNCVC6bqqWaMBBp7jWareeyPKVVaoWovbR4CHg8fzjItNlxZMvjYbm6VAYrRNVwykyqCQORtLw3zz6eXdEpyzB9RMV02ePtpcWnSxxDUSF6XqPZOqrE1513NlVLNWEgkjr6h0q6uvxKw1zgtYr+IdpLi3uAPflDq0TlsUIk1YSBSKpuhVlhlApRqYEo57RZ+WyqlmrCQCRVt8KsMEwgqmLJfcHG6vLZVC3VhIFIgv8pv32871mjG2a3aitEs8UpM6kmDESaa41m643AG/OHv5o/Ltswu1VXGYjcrbp8TplJNWEg0txqNFvbgBs7DwE35MfLNEoPUVlXuu/kbtXlc8pMqomN0x6ANGmNZmsTEAL/ltV/FCwAp1HuBo1OmdWXU2ZSTRiINDcazdYLgF8FLgNO6nHaIeDrJb/1epsyO6XRbDUq2mJg3rgPkVQTBiLVWqPZagA/BrwVeC3L/81/C/gIsBe4lqwydAi4rL20WPblO9bLsvvif1exM3cV7zFvrBBNQT6t/WLg3gr+vdaGn9NwDESqpfxyHL9EFoRe0vGt/wZ8CEiLnaAbzdZ/IZsm+3pFPzTWxbL79tLigUaz9TBwIvBS4LNlv8ccsql6wvKFDzeSTXc/02i2drSXFm+a8rDWnVn5nKIwOAm4ELgYuChO0ruiMDgLuB44A/gacHmcpHd0ee6pwEX5c18SJ+neccZiIFLppvFXScd7PgH8AnApy9WW/cAfAde1lxb/YeVz8zFWOc7DO1X3m6rKq1mVVYjyH5An5g9vbTRbb1qPPyBnTFEh2uQ0ZPU6FkIUvX8byBZCfMYKyLJZ+ZyiMDga2AX8A3BmfmwD8Angz4DXAFcDNwM/sOK5Pwj8HfCPZH/Qjs1VZipV/kt3F3AbsKuiZez93vNvgSvIgsWu/P629tLipd3C0IQUFaKNwJY+520Bjsjvl7rKbIIr6ubNvo779hFV78X0XgihZbPyOe0DTgWijmObgY8D74+T9AGyn+snd3nuLuD5wLvKGowVIpVmGn+VdHnPwqXAR/OrzU/bPuAAsIls2ux7Pc47XNFqLy0+WfIY+v2AXDd/Mc6g/R33n8OzA5LKdy/wDM/+b7mKhRCzbtqf05YoDLZ2PD4QJ+mBlSfFSXoQ2B2FwfaOY3uBKwGiMNhI9rP8li7PfSI/p7RBWyFSmabxV0m39wT4H+skDJFPowyy9L7KhuriB2Qnf5GMKe9DK/47s4+oYvkfVjtY/syrWggx09bB53Q32c7/xddVI77ODWQ/F0d9/lAMRCrTNH7pzsov+kGW3lcWiNbBD8g6s7F6gvK+t+3AucB2++C6m/LndDpwTMfX1cO+QBQG1wDnAefHSbqn3OF155SZStNeWry/0WztIEv1VS5jn+p7jmiQlWZVVohoLy3e1Gi2PkO1K+rm0T7gKOwhmpgJLISohSl+TnvHCTFRGFxJ9gfc+cCeKAyOzV/zYBQGC3GSVlL9NxCpVNP4pTsjv+gHmTKr8kr3gL9IKuJeRFK5iorSnR3Hzo3C4ETg3eQr0spmIFLppvFLdwZ+0U91ykyVcrdqaQxxku4kW/laPG70PptkxXM/1/nccdhDJE3GMFNmVVzYVdWxQiTVgIFImoxprzJTdWyqlmrAQCRNhlNm9VVUiJwyk2aYgUiajKmvMlNlnDKTasBAJE2Ggai+bKqWasBAJE3G4Qu89jmn8mX3qoQVIqkGDETSZPStEDWarSNZvvCrgWi22FQt1YCBSJqMIhBtycPPSsV02TPAYxMZkcpiU7VUAwYiaTIe77jfbdqsCETfbS8trrw2m9Y3p8ykGjAQSRPQXlo8xHLlp18gcrps9thULdWAgUianH59RAai2WWFSKoBA5E0Of12qzYQzS6bqqUaMBBJk9Nvt2qX3M8um6qlGjAQSZPjlFk9OWUm1YCBSJqcQabMvNL97LGpWqoBA5E0Of2mzKwQzS4rRFINGIikyXHKrJ5sqpZqwEAkTY6BqJ5sqpZqwEAkTY7L7uvJKTOpBgxE0uR07SFqNFsbWA5JBqLZY1O1VAMGImlyek2ZHcvyv0UD0eyxQiTVgIFImpxiyuy4RrPV6DheTJd9r720+NSEx6Tx2VQt1YCBSJqcokK0ABzdcdz+odlWVIiOaDRbC1MdiaSRGYgmpNFsbWs0W+c2mq1t0x6LpqO9tLiP5WpC57SZgWi27eu4bx+RNKMMRBPQaLbeCOwCbgN25Y81n7qtNDMQzbb9HfcNRNKMMhBVLK8I3cjyZ70BuMFK0dzqttLMQDTD2kuLh4Cn84f2EUkzykBUvRez+nNeAE6bwlg0fd1Wmnml+9lnY7U04wxE1bsXeGbFsUPA16cwFk1fvykzL+w6u9ytWppxBqKKtZcW7wd2kIUg8tvL8uOaP06Z1ZN7EUkzzkA0Ae2lxZuA7cC5wPb8seZTtykzA9Hsc7dqacZtnPYA5kVeEbIqJANRPVkhkmacFSJpslx2X082VUszzkAkTdazeojyS3gYiGafTdXSjDMQSZO1cspsM8u/RA1Es8spM2nGGYikyVo5ZVZUh54C9k5+OCqJTdXSjDMQSZO1ctn94emy9tJiewrjUTmsEEkzzkAkTVYRiI5qNFubsH+oLmyqlmacgUiarMeBohJ0HAaiurCpWppxBiJpgtpLi88Aj+UPDUT14ZSZNOMMRNLkda40MxDVg1Nm0owzEEmT17nSzCvd14NTZtKMMxBJk9etQuSV7mebU2bSjDMQSZPXufTeKbN6cB8iacYZiKTJs4eofqwQSTOu0qvdR2HwLuAdwFHArcAlZL8APgacBdwDvCFO0lYUBmcDf0q2W++r4yS9p8qxSVPU2UNkIKoHm6qlGVdZIIrC4Dzgd4BXAQ8CfwX8OnAm8ARwBvBe4CbgZcC7gCuAU4HLozC4AvgQsCNOUnfwVZ04ZVY/NlVLI4jC4CTgQuBi4KI4Se+KwuAs4HqynPA14PI4Se/o8ty3A78BHAF8FLhinLxQ5ZTZU2SD+6s4Sf+RrBp0MnAOcEucpPeRhaGzojDYnI/lfuBbwALwPuAOw5BqqAhEJwPH5PcNRLPNKTNpSFEYHA3sAi4gK5YQhcEG4BPAF4DTgC8DN3d57hnAtWQzT68G3kJWgBlZZRWiOElvB24HiMLgh4AfIasAvZXli1g+lt+eAHwY+CRZkLoWeHmcpG/r9tpRGGwCNgFbqhm9VKliyuxF+W2745hmk03V0vD2kc0KbQa+mR/bDHwcuC5O0geiMLgNeE2X5/4EcG+cpJ8FiMLgb/Jjfz7qYCrtIQKIwmAb8CngA3GS/m0UBt1Oa8dJemsUBseTTSPcClwfhcFO4C7gtXGSHug4/yrgtyoduFSdokJ0Sn77aHtp8dC0BqNSWCGSlm2JwmBrx+MDK36HAxAn6UFgdxQG2zuO7QWuBIjCYCNwKXBLl/c4keXiCmQFlhPHGXSlq8yiMDgB+EvgNuA9+eFHgGPz+8UH9jBAnKSHgI/k574VeHP+/ZVlsKvJphpOr2LcUsWKQFT8+3O6bPbZVC0tu5vsuo3F11Ujvs4NZH2Wgz5/rBabygJRFAZbgL8A7gPeCRyTJ8bbgddHYXAK2dzfnXGS7s+fcw7wUJykt5L1ET0GPJnfPyxO0gNxku7h2elQmhUrp8cMRLPPpmpp2elkRYvi6+phXyAKg2uA84Dz89/3K3UWVyArsOweeqQdqpwyey3Z6jFY3oV3F9kc30eBr5KlyF8pnhAn6e1RGHw+f/g+4NP5ebdWOE5p0gxE9eOUmbRsb48QM5AoDK4EdgDnA3uiMDg2f82DURgs5LNJnweui8KgCXwb+DHgA+MMusqm6o+R7TfUzSv6PK+d395C93lDaaa1lxb3NZqtfSz/8jQQzb5iymyh0WxtbC8tHpzqaKTZVlSU7uw4dm4UBicC7wbOzJfnvwO4kWzZ/XVxkn5mnDetvKlaUlePYiCqk30d958LfG9aA5FmTZykO4FGx+NG77NJOs77A+APyhqHl+6QpuO7HfcNRLOvcwWN02bSDDIQSdPRGYi80v2May8tPsNyKLKxWppBBiJpOqwQ1Y+N1dIMMxBJ09G50sxAVA/uVi3NMAORNB1WiOrHCpE0wwxE0nQYiOrH3aqlGWYgkqajc8rMKZZ6cLdqaYYZiKTp+KGO+19rNFtvnNpIVBanzKQZZiCSJqzRbG0D3tRxaANwQ35cs8umammGGYikyXsxq//tLQCnTWEsKo8VImmGGYikybsXeGbFsUPA16cwFpXHpmpphhmIpAlrLy3eT3Yl50P5oUPAZflxzS6bqqUZZiCSpqC9tHgTsB04F9ieP9Zsc8pMmmFe7V6akrwiZFWoPmyqlmaYFSJJKocVImmGGYgkqRw2VUszzEAkSeWwqVqaYQYiSSqHU2bSDDMQSVI5bKqWZpiBSJLKYYVImmEGIkkqh03V0gwzEElSOWyqlmaYgUiSyuGUmTTDDESSVA6bqqUZZiCSpHJYIZJmmIFIksphU7U0wwxEklQOm6qlGWYgkqRyHJ4yazRbjamORNLQDESSVI5iyqwBHDHNgUganoFIksqxr+O+fUTSjDEQSVI5ngLa+X0DkTRjDESSVIL20mIb9yKSZpaBSJLK415E0owyEElSeawQSTPKQCRJ5bFCJM0oA5EklcfdqqUZZSCSpPK4W7U0owxEklQep8ykGWUgkqTyOGUmzSgDkSSVxykzaUYZiCSpPE6ZSTPKQCRJ5XEfImlGGYgkqTxWiKQZZSCSpPLYVC3NKAORJJXHpmppRm2c9gAkqUacMpOGEIXBScCFwMXARXGS3hWFwUbgp4FfAe6Jk/TdXZ63AfgA8AbgUeCqOEnjccZihUiSymNTtTSgKAyOBnYBFwBndnzrj4DfA84GNvV4+sVkgekVwNuBj0ZhsH2c8RiIJKk8Voikwe0DTgWiFcffFifpDwB393nuDwN3xEn6xThJPwl8A/jX4wzGKTNJKo9N1RJsicJga8fjA3GSHlh5UpykB4HdKys7cZI+OMB7fBP4uSgMTgSOBU4AThp5xFghkqQy2VQtZZWdxzu+rqrgPa4H/hl4EPgUcGR+f2RWiCSpPE6ZSXA6zw4nq6pD44qT9HHgh6MwOB5oAw8BXxnnNQ1EklQem6ol2Bsn6Z4qXjgKg4U4SQ/l958LnAJcDXwuTtL/Ps5rO2UmSeWxQiRVJAqDEPhix6F3AJ8lq0b90rivb4VIkspjU7U0pDhJdwKNLsd/csXjBEg6Hv8O8DtljcMKkSSVx6ZqaUYZiCSpPE6ZSTPKQCRJ5bGpWppRBiJJKs/hKbNGs7WqJ0LS+mUgkqTy7O+4b5VImiEGIkkqz76O+wYiaYYYiCSpJO2lxaeBQ/lDG6ulGWIgkqRy2VgtzSADkSSVq7hu0/ZpDkLScAxEklSSRrP1RuB5+cO/zB9LmgEGIkkqQaPZ2gbc2HFoA3BDflzSOmcgkqRyvJjVP1MXgNOmMBZJQzIQSVI57gWeWXHsEPD1KYxF0pAMRJJUgvbS4v3ADpaX3R8CLsuPS1rnDESSVJL20uJNZKvLzgW2548lzYCN0x6AJNVJXhGyKiTNGCtEkiRp7hmIJEnS3DMQSZKkuWcgkiRJc89AJEmS5p6BSJIkzT0DkSRJmnsGIkmSNPcMRJIkae4ZiCRJ0twzEEmSpLlnIJIkSXPPQCRJkubeVK52H4XBBcDVwHHAJ4E3A/9nfvsp4JfjJG1PY2ySJGn+TLxCFIXB8cDNZAHox4GfBn4DiIAfBn4AODMKg5+IwmDHpMcnSZLmzzSmzF4ONICPxkn6VeAvgJ8E9gE7gT3A84BrgXQK45MkSXNmGlNmJwJPdEyJPQZ8P3A78DhwG3Ap8Ntxku7u9gJRGGwCNgFb8kMnR2FQ6iCfs3ht1+PfOdj9I3tLGLyw1AGoEunitfd3Ox60fmPben2uJM2Ik6c9gHE02u3JtupEYfB64PfiJD0hf3wt8JI4SX8qCoMjgNcCPwUsAOcB/z5O0o+seI1/B/zWRAcuSZIG8dI4Sb807UEMaxoVokeAo6Mw2BAn6TPAVqCoBH0f8E7gHcDvkfUVJcBHVrzG1fn3Af4V0PWv7xFsAe4GTgf2lvSaWubnWx0/22r5+VbHz7Y60/hsTwb+fkLvVappBKL/DhwCLovC4L8CPwP8dv69/x14K3AQeAr4Dlm/0bPESXoAOJA//NuyBhaFwdb87oNxku4p63WV8fOtjp9ttfx8q+NnW50pfbYPTOh9Sjfxpuo4SR8BLgH+N+ALwGeBj+bf3hEn6Z3Al4CHyMLTByc4vAPAe1kOWyqXn291/Gyr5edbHT/b6vjZDmHiPUSSJEnrjTtVS5KkuTeVnarXq247aOf9ShpQFAYnARcCFwMXxUl6VxQGpwAfA84C7gHeECdpKwqDBvA+sinUp4Fr4yT9/SkNfd2LwuBdZAsOjgJuJfvcjsfPdmxRGGwEfgcoNoNdAt4EnISfb2miMEiAX4yTtOHPhfJEYfAZ4F93HPoAWbuJn+8QrBDleuygfelUBzVjojA4GtgFXACc2fGta4EngDOArwA35cd/huxyLa8i+0X0gSgM/pdJjXeWRGFwHtkv7IuAHwX+V+DX8bMtyy+TBaAm2ef7SrLPzc+3JFEY/Bzw8x2H/GzL83zg18j+mD8OeA9+vkMzEC3rtoP2T0x3SDNnH3Aq2XYJnc4BbomT9D6yf5RnRWGwOT/+N3GS/l2cpH8OfAM4e5IDniFPAVfESfpXcZL+I9lffCfjZ1uKOEk/Fifp8+IkvQP4Ntnn/TR+vqXIVzt9GPhQx2E/2/I8H/hmnKSP5V/78fMdmlNmy3rtoK0BxUl6ENgdhcH2Fd86keU9MB7Lb09Ycbz43onVjXB2xUl6O9lu7kRh8EPAjwBXkG1T4WdbkigMWsAPAp8Drif7Je7nO773A3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);} 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);} 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);} 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);} 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xVLB+o1Bq70huOXgXsApxRLE9Uao0rCeHoV0WwkiRpWBiI1DXNevVO4KvAVyu1xjTgEEI4OhLYBoiKhUqtcQu9hdk3NevVVSPfYknSeGUg0qjQrFcfB34O/LwozN6LEI5qhILslxbLx4FHWgqzryiKuiVJGjIDkUadojD7T8XymUqt8Rx6C7MPB7YE3lYsqyq1xnX09h7Ncb41SdJgdSQQJXF0BeE+ND1mAR8DXg+8A/hbmuX/Xmy7MfAtwj1qngTOSbP8P/rZZxW4ANgdmA2cmGb53E60V2NLs15dAHwP+F6l1tgAOJDe2qMXAAcXy+eB+yq1Rk84+l1xQ0lJktapUz1E2wDvJUwSCvAU8EPCEMd04N6Wbf+d8AdtX2A34BdJHF2ZZvkf+uzzPOBm4Jji61lA3KH2aowqpgS5pljOrNQaO9Ebjl4D7AC8p1iWVWqNq+mdb20uQKXWmEm4wu3OZr06b6SPQZI0+kzo0H62Ae5Js3xRsTwFvD/N8t2AO/psexdwZprldwC/Bp4Gtm7dIImjKYTAdGHRK3QxoQdAWkOzXr2nWa9+s1mvHgFsARxNmH9tHjCFEJTOIfQc3VqpNX4F3AdcXaw7uUtNlySNIm33ECVxtCHhD9EXkzg6D7geOC3N8gf62z7N8gtbvj0ZWARc2WezrYrHpcXjopZ1Pe87GZgMTG2j+RpHmvXqE8ClwKWVWqMCvJje3qMDgBcVS48JhIlrr7CnSJLKrRM9RE3gdOADhOGtKmGKhnVK4ugQwjDYO9IsX7q+7Yv3aXUWsJhn90BJNOvVZrNebQAp8FtgwVo2nUi4/5EkqcQ6UUM0EfhFmuXzAZI4yoH91vWCJI72Ay4BTk+z/PJ+Nnm4eJxRPE7n2X/Qzga+TBiuMxTpGcUdsSPgFOB1QKV4ahGwacv3AKsIw7iSpBLrRA/RLsC8JI6OS+Lo+YTLohtr2ziJoxcSpmf4MnBJEkcziivPSOJoIkCa5csIV5adksTR9sAJhCLaZ6RZvjzN8iX0Dqup5Cq1RrVSa3wN+CfwY8KNHiuEHqLjCeH5XYQQRPF4msNlkqS2A1Ga5bcRplqYBfyZ8L/tT67jJWcCmwOfAhYWyzlFTdDcovcIQn3RnsAcYCPgI+22VeNPpdbYtFJrnFapNW4C/kL4WdwcmA98Fti5Wa8e0qxX02a9+lSzXj0f2JFwRdqOxfeSpJKrNJtj+x52SRxtS7iiaGbPsJ3Gt6Jg+pWE0BwTriYDWAH8kjCZ7G+c3kOSyqPdPOCdqjVmVGqN5wInAu8k3MOqx+2EEPT94iaOkiQNioFIo1ql1phEmLbjFMLl8xOLp54AfkK4aecNTtchSWqHgUijUqXW2JXQE3QioRi6x/WE3qCfFhPCSpLUNgORRo1KrbEx8CZCbdCrWp56hHC38vOb9eqcbrRNkjS+GYjUVUWB9N6EEHQ84Z5TAKuBKwi9QZc269Wnu9NCSVIZGIjUFZVaY3PgrYQg9JKWp+4FLgAuatar93ehaZKkEjIQacRUao0JwGsJIeiNhLnoAJYT7lx+PvC7Zr26ujstlCSVlYFIw65Sa2wHvINQJL1jy1N/IYSgHzbr1cdGvmWSJAUGIg2LSq2xIfAGwuXyh9F7V/QlwI8Il8v/ycvlJUmjgYFIHVWpNV5IGBJ7G7BVy1PXEnqDftasV5/sRtskSVobA5HaVqk1pgLHEYLQAS1PPQB8D7igWa/e2Y22SZI0EAYiDUlxufz+hCGx44BNiqdWAXVCb9DlzXp1ZXdaKEnSwBmINCiVWuM5hOGwk4EXtDx1JyEEXdysVx/oRtskSRoqA5HWq1JrTCQURp8M/Au9PzfLgJ8SgtD/WSAtSRqrDERaq0qtsRPhUvl3ADNbnrqJEIJ+3KxXF3ehaZIkdZSBSGuo1BobEW6aeDLwupanHgN+QJhPrNGNtkmSNFwMRAKgUmu8hFAg/VZgs5anriT0Bv2iWa8+1Y22SZI03AxEJVapNWYACaE3aO+Wp+4HLgQubNar9458yyRJGlkGopIpLpc/mBCCYmCj4qkVwC8Id5C+qlmvrupOCyVJGnkGopKo1BrPA04kFEnv0vLUXwlDYj9o1qsPd6NtkiR1m4FoHKvUGhsARxJ6g44EJhZPLQV+TOgN+qOXy0uSys5ANA5Vao3dCCHoRGDrlqeuI/QGZc16dWk32iZJ0mjUkUCUxNFE4CzgJOD2NMtrLc8dCVwGnJRm+UVJHE0AvgEcT5jm4YI0yz/Szz6rwAXA7sBs4MQ0y+d2or3jUaXW2AR4MyEIvbLlqQXAxYTL5e/oRtskSRrtOtVD9FXCH+P3EGY1ByCJo6nAfwOrW7Y9mt4/2pOBa5I4+k2a5Vf12ed5wM3AMcXXswhFwKVXqTVmArsSpsvYhnC5fAJMKzZZDVxO6A2qN+vVFd1opyRJY0XbgSiJo62BfwXenGb5L/o8fTYhIB3Zsm41sBKYC2zY8n3rPqcA+wJnpFk+N4mjiwmBqPQqtcbJwHeACf08fTehV+2iZr06f0QbJknSGNaJHqKXE4p1j03i6JvAbcC7CFM9xMCetASiNMt/mcTR1UDPH+zvp1l+TZ99blU89tS5LGpZB0ASR5MJPUxTO3AMY0LRM9RfGPo5YRjy2ma9uvpZL5QkSevUXy/DYG0GNAkFu0cTini/SBjm+lCa5Y+2bpzE0dGE++AcRpgi4rgkjg4awPv0vRLqLGAxUKa6mF3p/5x9vVmv/s4wJEnS0HQiEC0AlqVZfk6a5bcQLud+OaFn6FtJHC0CNgfOSeLoeOD1wHVpll+dZvmlwK2EcNSq5344M4rH6cX7tDob2BTYowPHMFbM62fdKuCukW6IJEnjSScC0fXA8iSOTk/iaEcgAhrATsBexbII+CTwS2AO8PIkjvZK4mg/QnCaA89crUaa5csIV5adksTR9sAJwDWtb5pm+fI0y5fQO6xWBsf3+X4VcFqzXu0vKEmSpAFqOxClWb4YeBOhsPpW4FHgtDTL7+1ZCIXTj6RZvhQ4F7gEuBqoA98GflLUBM0tQhKEK9F6wtJGwLMuzS+T4k7TPf8G7wZeA+zYrFfP716rJEkaHyrN5ti+SXESR9sShpJmplk+bq+sqtQaFxDu83Q9cKB3l5YkqVe7eaATQ2YaZpVa46XAO4pvP2gYkiSpswxEo1wxO/0soAL8uFmv3tDlJkmSNO4YiEa/NxDqhZYTbjUgSZI6zEA0ihWz1X+x+PYrzXr13i42R5KkcctANLr9K7Ab4b5MZ3e5LZIkjVsGolGqUmtsBny6+PaTzXp1SRebI0nSuGYgGr0+TrjD9xzCNCiSJGmYGIhGoUqtsQvwvuLbDzXr1ZXdbI8kSeOdgWh0+hywAXBFs179dbcbI0nSeGcgGmUqtcYrCVOhrAY+3OXmSJJUCgaiUaRSa0wAvlx8e16zXr2tm+2RJKksDESjy/HAPsBS4JNdboskSaVhIBolKrXGxvTea+i/mvXqQ91sjyRJZWIgGj0+AMwE5gJf7W5TJEkqFwPRKFCpNZ5L7zxlH2vWq8u62R5JksrGQDQ6fAbYBPgj8OMut0WSpNIxEHVZpdaoAu8svv1gs15tdrM9kiSVkYGoiyq1RgWYRTgPWbNeva7LTZIkqZQMRN11BHAI8DTwsS63RZKk0jIQdUml1tiA0DsE8LVmvXp3N9sjSVKZGYi6513AHsCjwH91uS2SJJWagagLKrXGpsB/FN9+qlmvLupicyRJKr1JndhJEkdXAIe1rLoZ2LufTV+ZZvn/JXG0BfB54A3ArDTLv9DPPqvABcDuwGzgxDTL53aivaPAvwFbAncA3+lyWyRJKr1O9RBtA7wX2KxYXt3y9WbAqcA/gRuTOJoEXAm8CIiAb6xln+cRgtWewAp6623GtEqtcQDhrtQAH27Wqyu62R5JktShHiJCILonzfJF/T2ZxNFpwLfSLF+RxNGbCLUzz0+z/MG1bD8F2Bc4I83yuUkcXcw4CESVWuNkQtDrcVCl1vgHsBBY2KxXn+5OyyRJKre2A1ESRxsCWwBfTOLoPOB64LQ0yx8tnn8NoZfn8OIlrwAeBH6QxNFuwGWE4NPaU7JV8bi0eFzUsq7nfScDk4Gp7R7DSKjUGjN59vDYx2i53L5SazwBPFYsC/s8rmvdEm/oKEnS0HWih6gJnA7cCSwBvg98Gnhf8fyZwA96AhJhCG0T4EuEobBLgD8D5w7gfVqdBXyqvaaPqF3pf4hyKb2hbpNi2W6Q+15VqTUWMYQw1axXlw/yvSRJGnc6EYgmAr9Is3w+QBJHObBf8fWLgNcD1ZbtFwCz0yz/dbHNdX2eB3i4eJxRPE4vXtfqbODLhOG6OzpwHMPtTmA1a4aiVcALgAcIx7oZsHnL4+brWbc5oZdsIqGXbovBNqpSazzJwHqh+q5b0qxXVw/2/SRJGo06EYh2AW5N4ugtwE2EobHfF899GPhtmuW3tWx/GfC+JI4OApYRwtPPAJI4mphm+ao0y5clcTQbOCWJo7nACcA1rW+aZvlyYHkSR9M6cAzDrlmvzqvUGqcSesImEsLQac16dV6xyaPFMiiVWmMK6w9O/a2bAVSAjYtl20G+9eqWXqnBDO891qxXnxrscUqSNJwqzWb7pSdJHL0P+CihJ+dK4BTCH9l7gDemWX7ZWrbfCPgB8EFgA+Bu4Jg0y28sLrs/n9CD8kfCZff39/Pe2wLzgJk9vVSjWVFLtAtwV0sY6kY7JgCbMrQwNaXNt3+KodVKLW7Wq6vafG9J0jjUbh7oSCDqprEWiMaDSq2xEc8OTAMJU5vR3q0emsBihhamlll4LknjV7t5oFOX3atEiiGvB4plwIpeqekMLET1fW4TwhDfjGJ5/iCbvbxSa/QXnNYXrBbZKyVJ45+BSCOmKMJeVCz3DOa1lVpjQ9ZeWL6+gDWRUHz+3GIZlEqt0dMrNahaKeBJe6UkaWwwEGlMKG5a+VCxDFil1qgA0xharVTP7RA2LZadBtnsFZVaYyjDewub9erKQb6XJKkNBiKNa0UPzZJiuXcwr63UGhswtFqpzQm/WxsAWxfLoFRqjccZWq3UUnulJGnwDETSWhTzzC3g2ffAWqeiV2oTBj6k17puerGbacWywyCbvXIttVLrrZ9yXj1JZWYgkjqs6KFZWixzB/PaSq0xiVA0PtgwtTmhR2oSYZqbrRikSq2xlKHVSj1ur5Sksc5AJI0iRe3QI8UyYEWv1MYMrti8Z92mxW6mFsv2g2z2qpZeqcHWSjl1jKRRwUAkjQNFD80TxTKoG35Wao2JrDl1zGDCVM/UMVsWy6AUU8cMdUJjp46R1DEGIqnkivssdWrqmIGGqRmsOXXMzEG+9eqiV2qww3sLnTpGUn8MRJKGrFmvLgPmF8uArWXqmIGGqSmEO54PdULjZQytVmqxvVLS+GUgkjTiimDR08MzKGuZOmYgYapn6pgphMmMBzuhcbONCY2XDfY4JY0sA5GkMWWEpo7pu65n6pieYDUolVpjOUOrlXLqGGmEGIgklUKbU8dMpjcMDWZ4r3XqmG2KZVBapo4ZVK0UTh0jDYqBSJLWo7g9wIPFMmBrmTpmoGGq3aljni6mjhlsrdQip45RGRmIJGmYtDl1zIb03qRzsGFqErAhQ5/QeAlDKzx/wl4pjVUGIkkahYoJjYc6dcxUhlYr1TN1zPRi2XGQzV7ZxoTGTh2jrjIQSdI4UvTQPF4sg506ZgPWvEnnQMNU69QxzymWQWmZOmawtVJOHaOOMBBJkoBnJjR+uFgGrGXqmMFOZtypqWOGMry3sOiFkwADkSSpTX2mjrl/MK9tmTpmKGGqZ+qYoU5o/ARDq5VaYq/U+GMgkiR1TYemjhlsmJpBuK/UJsWy3SDfevUQJzR+zAmNRy8DkSRpTGpj6piJhKLxoYSpdqeOeZIhDO/h1DHDriOBKImjK4DDWlbNAm4GftSy7tE0y7cstn+K0NXZ4w1pltf77LMKXADsDswGTkyzfFAFgpIk9VX0SvVMHfOPwby2z9QxgwlTMwhBqmdC46FMHTPUCY2dOmYAOtVDtA3wXnoD0FPAe4DrgFqxbjVAEkc9474vofcKiKX97PM8Qqg6pvh6FhB3qL2SJA1aB6eOGUyY2pgwxNfz/c6DfO+nGPqExh2dOqZSa8wEdgXubNar8zq573Z1MhDdk2b5op4VSRxtA8xvXdeyLcCdaZb3m1qTOJoC7AuckWb53CSOLiYEIkmSxpwuTx2zEfC8YhlUs1umjhlsmFrWt/C8UmucDHyH0FO2ulJrnNqsV88fZJuGTduBKImjDQnjqF9M4ug84HrgNMI//AFJHM0jXMJ5ZprlVxXrVwPXJ3E0A/gp8NE0y1v/4XquFujpOVpEnysIkjiaTOhpmookSePUCE8d0/P1VEKv1IxiGayn+9yk80ngkGKfEELRuZVa44rR0lPUiR6iJnA6cCfh9vTfBz4NfBf4HfAH4H3AT4peo78CHwauJdxv4sfAjcDPBvA+rc4CPtWB9kuSNO4MZeqYIkRNIdxc8/mE4bnntyw7EwLT+gxk6piJwC7AuAlEE4FfpFk+HyCJoxzYD/gv4MY0y5clcfQN4F8JRWSPAd9Ps/wR4E9JHDWAKmsGop6bgs0oHqfz7NvXnw18mTAEd0cHjkOSpDGvz/QtfZcZa1nf+tyGbTahCSymt3B9IbAcOILeHiKAVcBdbb5Xx3QiEO0C3JrE0VuAm4DDgd8DvwTuS+LoDOB4QhCaD7wL+GwSRwcTTtiewOcBkjiamGb5qiJEzQZOSeJoLnACcE3rm6ZZvhxYnsTRtA4cgyRJo0ZRhL0p6w8y/a2fQeisaMcqQrnKwrUsa3tuEWu5RUBRQ3Ru0bZVwGmjZbgMOhCI0iy/rQg9swg9OVcCnyQMh32bkP7uBuI0y59O4ui7wF6E0LQS+Hqa5T8raoLuTuLomDTLbwROBs4H5gB/JNQlSZI0JlRqjUmsPbCsL9xsypq9KUPxNAMPMX3XLe303bib9er5lVrjCkJHyl2jKQwBVJrNsX338SSOtiWMP87sGbaTJKkTWq7wmsHgh6A6cdHPMgbfQ9Pz9bOu9BrP2s0D3qlakjRutRQJD6WXpufO1O16nKH10ixyqo+RYyCSJI1qLZePz2BwvTQ964ejSHig4WZRs15d2eb7awQYiCRJw26UFAkPpZdmIWF2e+cRG+cMRJKkARlCkXDrc8NRJDyYcNPxImGNLwYiSSqRPtNAzGDgvTSdKhJ+kqFfzl2qImGNLAORJI0ho7BIeDC9NBYJa9QyEEnSCGujSLjnueEqEl5XuOl5ziJhjUsGIkkagn6KhAfTSzODzhYJD7ZQ2CJhqQ8DkaTSWkeR8EDCzXAVCQ+kl8YiYanDDESSxrRRUiQ80BDTd3nKUCONDgYiSV21jiLhgQac4SgSHsxN9ywSlsYBA5GktrUUCQ+ll2YGnSkSXsTQemkWWyQsyUAkCRiVRcKDKRS2SFhSWwxE0jiyniLh9QWc4SwSHkjAsUhYUtcYiKRRpk+R8GCHoDpZJDzoy7mb9eqyDry/JI04A5HUYaO4SHhAV0I169WnO/D+kjSmGIikfoyiIuGh3HTPImFJGiQDkcattRQJDzTgzGB4ioQHGm4sEpakEWQg0qhWFAkPtZemE0XCyxlaL81C4AmLhCVpbDAQadiNwiLhAYcbi4QlqRwMRFqv9RQJDyTgdKJIeAlDu+neIouEJUnrYyAqiT5FwoPtpZlB54uEBzMEZZGwJGlYdSwQJXGUAW9Os7ySxNHuwAXAS4F7gTPSLL8qiaMK8DngJGAF8KU0y7/Sz76qxet3B2YDJ6ZZPrdTbR2rhlAk3PrcDNovEl7J4Otoep6zSFiSNGp1JBAlcXQ08MaWVZ8n1G3sCpwJXATMBI4A3g28FtgauDSJo6vSLL+1zy7PA24Gjim+ngXEnWjrYFVqjZmE47izWa/O68D+NiCEkxkMfghqOp0tEh5sobBFwpKkcantQJTE0XTgW8A3gPcXq1cT/oD+E3iQ0LMA8CrgD2mWzy5eezdwEHBry/6mAPsSepXmJnF0MSEQjbhKrXEy8B1gArC6Umuc2qxXz++nSHgwQ1DDVSQ80JvuWSQsSVIfnegh+jxwJfBbegPRB4EGsIxQe/K6Yv1WwNKW1y4q1rXq+X7pOrYhiaPJwGQ6EzCepegZ6glDFI/nVWqNbwIbdeAtljC0XhqLhCVJ6rC2AlESRwcBEbAn8IqWp74M/B/wEeA9wLeSOHrRWnYzkCGY/rY5C/jUgBs7eLvSG4Za9Q1D9wKPMoheGiwSliRpVGm3h+jjwBbA3T37SuJoEaFX6MQ0y29L4ugbhLqhHYFHgO1bXj8dWNBnnw8XjzPWsQ3A2YTgtQ1wR3uH0a87CUN//YWiVpsDfwP+UCx/bNarS4ahPZIkaZi0G4jeQW+PyWuB84G9gP8B3pzE0R+AhDA8NB+4Fjg9iaP9CVdL7Qz8HiCJo4lplq9Ks3xZEkezgVOSOJoLnABc0/eN0yxfDixP4mham8fQr2a9Oq9Sa5wKnEu4OmsV8AHgLkJv2CuA/QiB7fBigVBrdCu9AekPwD0WI0uSNHq1FYjSLH+w5+skjhYU6+5N4ugkQpC4kzCkdGya5cuTOPoV8HXgUsJl9x9Is/z2oh7o7iSOjkmz/EbgZEK4mgP8ETitnXYOVVFAfQWwC3BXy1Vml8Mz00q8mN6A9ApCT9hLiuXdxfYPVWqN1oD0p2a9+tRIHYckSVq3SrM5tjsukjjaFpgHzEyzfH6321OpNZ4HHEBvQNob2KDPZk8TbivwTEhq1qsPIkmShqTdPOCdqjusWa/+E/hZsVCpNTYihKKegHQg4aq5A4rlQ8V299AbkK4DbmvWq6tGuv2SJJWRgWiYFUNj1xVLzxQaO7PmMNuLgJ2K5a3FS5dWao0b6A1JNzbr1UUj2nhJkkrCQDTCiuLqu4rlYoBKrbEpoUC7JyDtT5h37JBiAWhWao2/smax9l0Wa0uS1D4D0SjQrFcXA78pFiq1xkR67+3Us+xM6El6EXBq8dJH+hRrz/ZO1JIkDZ6BaBQqaocaxfJtgEqtsTVrFmvvA2wJHF0sACsrtcafWLNYu+uF5pIkjXYGojGiWa8+BOTFQjGf2ktZs1j7ucDLi+X9xXZz6S3U/gPQ8C7ZkiStyUA0RjXr1eXADcXy5aJYewfWDEhVwp3BtwfeUrz0yUqtcSO9vUg3NOvVx0a4+ZIkjSoGonGiKK6+t1h+BFCpNaYReot6QtIBhDuEv6ZYKLa7nTWLtf9msbYkqUwMRONYs159HPhtsVCpNSYAL2DNYu3dinUvINwhHOCxSq1xPb0B6aZmvfrEyLZekqSRYyAqkWa9uhr4a7F8F6BSa2xFuMy/JyC9nDBh7VHFArCqUmv8mTWLteeOaOMlSRpGBqKSa9arDxPmlrsUoFJrbEiYh621Fmlbwt229wbeV2w3jzWH2f7crFdXjHT7JUnqBAOR1tCsV58GbiqWrwFUao3tCMGoJyTtBcwEji0WgGWVWuMmegPS9c169ZERbbwkSUNkINJ6NevV+4EfFwuVWmMTYF/WrEXaDDi4WCi2+ztr9iLdXgzbSZI0qhiINGhFgfU1xdJTrL0bawakFxTrdgPeUbx0cZ9i7T8Whd+SJHWVgUhtK3p97iiWCwAqtcbmrFmsvR/hkv/XFwvA6kqt0aA3IF0H3Ocl/5KkkWYg0rAobvb4q2KhUmtMItwosrUXaQdCPdJewHuKlz7QZ362W4qbUEqSNGwMRBoRxXQhfyqWbwJUao2ZrDk/28uAbYA3FQvA8kqtMZs1i7UfGtnWS5LGOwORuqZZr84DsmKhUmtMIUxa29qLtCXhCrcDe15XqTX+wZrF2n8tJsSVJGlIDEQaNZr16jLgf4uFYn62XVgzIO0J7Fwsbyte+nil1riB3oB0Y7NeXTyyrZckjWUGIo1aRXH1ncXyPYBKrTGDUKDdE5D2B6YBhxYLQLNSa9xGb6H2H4C7LdaWJK2NgUhjSrNeXQRcUSxUao2JwItY887aOwEvLpbTipcu6FOsfXOzXn1qRBsvSRq1DEQa04raob8Uy38DVGqNbVizWHtv4DlAVCwAKyq1xs2sOT/bAyPZdknS6NGRQJTE0RXAYS2rZgEfI9xv5h3A39Is//di242BbwPHAPOA96RZfnU/+6wS7mmzOzAbODHNcicU1XoVweaSYqFSa2xEuIKttRZpa8Jw2/7AB4vt7mXNYu1bi6vjJEnjXKd6iLYB3gv8qPj+KeCHwEuB6cC9Ldt+lDCssQ+h5iNL4mjHNMv73rH4POBmQnA6jxCy4g61VyVSDI31hJyeYu2dWDMgvRjYsViOL176RKXWuJHeWqQbiiG7ZxS3DtgVuLO4ak6SNAZ1MhDdk2b5op4VSRy9P83yB5I4uqbPtvsBl6dZfkcSR38DPk8Y3vhNy2unEObKOiPN8rlJHF1MCERS24ri6ruL5QcAlVpjOvByegPSAYQw/9piodjur/SGq+cBnwEmEO66fWqzXj1/5I5EktQpbQeiJI42BLYAvpjE0XnA9cBpaZavrR7jHuCgJI42IRTDTiTUd7TaqnhcWjwualnX876TgcnA1HaPQWrWq0uAq4qlp1j7BazZi7Qr4bL/PYF39dnFBODcSq1xhT1FkjT2dKKHqAmcTrg0egnwfeDTwPvWsv3nCL1Bi4BbgA2BgRSz9r1k+izgU4NurTQARbH2bcXyHYBKrfEceudnO5IwzNZqIuG+SQYiSRpjOhGIJgK/SLN8PkASRzlhWKxfaZbfB+yexNEWhCGHW4Db+2z2cPE4o3icDizos83ZwJcJw3V3DL350sA069UFwC+BX1ZqjW8C9xF6hnqsBu7qRtskSe2ZsP5N1msXYF4SR8clcfR84HCgsa4XJHE0lXD12AXAhWmW/7NYPxEgzfJlhCvLTkniaHvgBOCa1n2kWb48zfIl9A6rSSOmGBY7Feg7ZcjLutAcSVKb2g5EaZbfBpxBKHr+M+F/yJ9cz8u+DPwP4cqdM+CZmqC5SRz19C6dTKjVmANsBHyk3bZKnVQUUO9IKLr+GeH36aeVWuN13WyXJGnwKs3m2J7NIImjbQk1GzN7hu2kkVapNSYRJqmNgCeAQ5r16g1dbZQklUi7eaATQ2ZS6RU3cHwL4Sq1TYDLK7VGtbutkiQNlIFI6pBmvbqc0EN0PeGCgN9Uao1du9kmSdLAGIikDmrWq08QLsn/C2F6kKsqtcZ23W2VJGl9DERShxXTexwG/B3YnhCK+t58VJI0ihiIpGFQ3LPoUOB+YDfgikqtMaOrjZIkrZWBSBomzXp1LnAI4aaiewGXVWqNTbraKElSvwxE0jBq1qt/J/QULSJM+fHzSq0xuauNkiQ9i4FIGmbNerUBHEG4P9GhQFrct0iSNEoYiKQRUNyk8V+Ap4E3AudXag1//yRplPADWRohzXr1t8CxhPnP3g58rVJrVLrbKkkSGIikEdWsV38BnAg0gdOBz3S3RZIkMBBJI65Zr/6QEIYA/r1Sa5zZzfZIkgxEUlc069VzgLOKb79QqTVO62Z7JKnsDERSlzTr1c8Bnyu+/e9KrZF0sz2SVGYGIqm7/g04B6gA36/UGm/ocnskqZQMRFIXNevVJvA+4AfARCCr1Bqv6W6rJKl8DERSlzXr1dXAScAvgMnALyu1xn7dbZUklYuBSBoFmvXqSuAtwG+BqcDllVrjxd1tlSSVh4FIGiWa9epTQATcAGwGXFmpNXbpaqMkqSQMRNIo0qxXlwJHAg1ga+CqSq2xXXdbJUnjn4FIGmWa9epC4DDgTmAHQk/RVt1tlSSNbwYiaRRq1qsPAYcA9wO7A1dUao0ZXW2UJI1jk9p5cRJHFxHmZWr1D+DdwDeB7YG/Au9Os/ymJI4mAN8AjidMcHlBmuUf6We/VeACwh+C2cCJaZbPbaet0ljTrFfnVmqNQ4D/BV4K1Cu1xuHNevWJLjdNksaddnuI3kMo/uxZrgF+DvwM+BGwK3ArcG6x/dHAyYThgAj4YBJHh/Sz3/OAm4E9gRXArDbbKY1JzXr174Tfl0XAgcAllVrj+ZVa4zWVWmNmVxsnSeNIW4EozfIn0yxflGb5ImA74CDgG2mWT0+z/D+A+cASQqgBWA2sBOYC97V8/4wkjqYA+wIXFr1CFwMHt9NOaSxr1qt/IRRaP0kIR/8Argbuq9QaJ3ezbZI0XnSyhujDwM97hraSOPoY8AShR+gdAGmW/5LwQT4fuAf4YZrl1/TZT0/x6NLicVHLumckcTQ5iaPphHu2SONas169nvC71GoCcK49RZLUvo4EoiSOtgUS4Gstq78N7ANcVXxNEkdHE3p7DgPeCByXxNFBA3iLZj/rzgIWA3cMveXSmPJQP+smAt6rSJLa1KkeovcDf0mz/LokjqYlcfQWYHWa5XOA7wCvTOJoIvB64Lo0y69Os/xSQn3RYX329XDxOKN4nA4s6Oc9zwY2Bfbo0DFIo92dhGHmVquAu7rQFkkaV9oORMWw1anAV4tVq4DvAh9O4uh5wJuBRprlq4A5wMuTONoriaP9CEXTc4r9TARIs3wZ4cqyU5I42h44gVCsvYY0y5enWb6E3qE1aVxr1qvzCL9rq4pVq4DTivWSpDZ0oofoNEKt0E8hFFoTQtAxhP/R7ga8tdj2XOASQh1RnTCU9pMkjiYDc4uQBKFWoicsbQQ869J8qYya9er5wI7Aa4Adi+8lSW2qNJv9leeMHUX90jxgZprl87vdHkmSNPLazQPeqVqSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJXepE7sJImj5wDHAycCb0uz/LaW544ELgNOSrP8opb1mwC3AfelWf7qfvZZBS4AdgdmAyemWT63E+2VJElq1XYPURJH04D7gOOAvfo8NxX4b2B1Py/9LLDdOnZ9HnAzsCewApjVblslSZL604khs2XADkDSz3NnA9cCC1tXJnG0L6FH6Yf97TCJoynAvsCFRa/QxcDBHWirJEnSs7Q9ZJZm+UpgQRJHO7auT+JofyAm9PAc2bJ+A0Lvz5lAlRCm+tqqeFxaPC5qWdezn8nAZGBqu8cgSZLKbViKqpM42pAQej6UZvmjfZ7+CLAgzfKLB7nbZp/vzwIWA3cMrZWSJEnBcF1ldgyhZ+hbSRwtAjYHzkni6HjgE8CBxfrTgYOSOKr3ef3DxeOM4nE6sKDPNmcDmwJ7dLrxkiSpXIYrENWBnQhF1nsRhrw+CfySEGBeWKy/mHAF2SkASRxNBEizfFnP+iSOtgdOAK5pfYM0y5enWb6E3mE1SZKkIenIZfd9pVm+lJagksTRauCRftYvAZ5Ks/zBoibo7iSOjkmz/EbgZOB8YA7wR+C04WirJElSpdnsW5oztiRxtC0wD5iZZvn8brdHkiSNvHbzgHeqliRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpWcgkiRJpTepnRcncTQJ+E/g1GJVHXhXmuVPJXH0auAzwN7A89MsfzCJownAN4DjgVXABWmWf6Sf/VaBC4DdgdnAiWmWz22nrZIkSWvTbg/RW4F3ATXgAOAQ4NQkjvYHfgP8L/Bi4KFi+6OBk4HDgAj4YBJHh/Sz3/OAm4E9gRXArDbbKUmStFZt9RClWf494HsASRzNAJ4mBJh/By5Ls/zf+rxkNbASmAts2PL9M5I4mgLsC5yRZvncJI4uxkAkSZKGUVuBqEcSRw3ghcA1wLeBzwI3JXH0N8LQ2CfSLP9ZmuW/TOLoamB+8dLvp1l+TZ/dbVU8Li0eF7Wsa33PycBkYGonjkGSJJVXp4qqjwQOB14CvAPYDFgGvAXIgYuTONosiaOjgYMJQ2ZvBI5L4uigAey/2c+6s4DFwB3tNl6SJJVbW4EoiaNqEkeHplk+L83y3wK/A14NLAB+lGb5LcBXgY2BXYDXA9elWX51muWXArcSwlGrh4vHGcXj9GJ/fZ0NbArs0c4xSJIktdtD9BLgkiSO9k/iaE9CYfUthKvNTkviaHvgnYThrzuBOcDLkzjaK4mj/QhF03MAkjiaCJBm+TLClWWnFK8/gTAUt4Y0y5enWb6E3qE1SZKkIWk3EP0AOBe4FPh98fgt4ExgIXAbYQjt2DTLFxXbXgJcTQhN3wZ+UtQDzS1CEoQr0XrC0kbAsy7NlyRJ6pRKs9lfec7YkcTRtsA8YGaa5fPXt70kSRp/2s0D3qlakiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSVnoFIkiSV3qRO7SiJowx4c5rllZZ1RwKXASelWX5Ry/pNgNuA+9Isf3U/+6oCFwC7A7OBE9Msn9uptkqSJLXqSA9REkdHA2/ss24q8N/A6n5e8llgu3Xs8jzgZmBPYAUwqxPtlCRJ6k/bgSiJo+nAt4Bv9HnqbOBaYGGf7fcFjgd+uJb9TQH2BS4seoUuBg5ut52SJElr04khs88DVwK/Bd4PkMTR/kBM6OE5smfDJI42IPT+nAlUgR362d9WxePS4nFRy7pnJHE0GZgMTG3/ECRJUpm11UOUxNFBQAR8uGXdhoTQ86E0yx/t85KPAAvSLL94kG/V7GfdWcBi4I5B7kuSJGkN7Q6ZfRzYArgb+HGxbgmhZ+hbSRwtAjYHzkni6HjgE8CBxfrTgYOSOKr32efDxeOM4nE6sKCf9z4b2BTYo81jkCRJJdduIHoHsBuwF3BGsW4fYKdi3V6EIa9PAr8khJcXFusvJlxBdgpAEkcTAdIsX9azPomj7YETgGv6vnGa5cvTLF9C79CaJEnSkLRVQ5Rm+YM9XydxtKBYd1vrNkkcrQYeSbN8KS3hJYmjJcBTaZY/WNQD3Z3E0TFplt8InAycD8wB/gic1k47JUmS1qXSbPZXnjN2JHG0LTAPmJlm+fxut0eSJI28dvOAd6qWJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlZyCSJEmlN6ndHSRxdCbwQWAT4NfAScALgG8DewJ/B96TZvl1SRxNAL4BHA+sAi5Is/wj/eyzClwA7A7MBk5Ms3xuu22VJEnqT1s9REkcHQr8J/A24ADglcD/Ay4Brgd2Af4CXFi85GjgZOAwIAI+mMTRIf3s+jzgZkKgWgHMaqedkiRJ69LukNnTwEfTLL8qzfK/An8DdgZ+BHw+zfL5wNXA1sX2q4GVwFzgvpbvn5HE0RRgX+DColfoYuDgNtspSZK0Vm0NmaVZfi1wLUASRy8B9icEpBuLdZOAU4AfFNv/Momjq4H5xS6+n2b5NX12u1XxuLR4XNSy7hlJHE0GJgNT2zkGSZKkjhRVJ3E0E7gUmNUThgrnAlsAZxXbHU3o7TkMeCNwXBJHBw3gLZr9rDsLWAzc0UbTJUmS2g9ESRxtCVxJGBr7eMv6LwCHAoenWb6kWP164Lo0y69Os/xS4FZCOGr1cPE4o3icDizo563PBjYF9mj3GCRJUrm1NWSWxNFU4FeEmqAPAZsmcbQaeA9wKnA4sCSJoxmEIbA5QJzE0V6E4a49ga8U+5qYZvmqNMuXJXE0GzgliaO5wAnANX3fO83y5cDyJI6mtXMMkiRJ7fYQvYlQAH0Y8AiwEGjQ23tzQ7FuIXAQYQjtEkJvUp1waf5PinqguUkc7Vfs92RCWJoDbAQ869J8SZKkTmm3qPp7wPcG+bLTiqXVcmDblv02CEFLkiRp2HmnakmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHoGIkmSVHqTOrGTJI6uAA5rWTUrzfIPJ3H0auAzwN7A89Msf7DY/gXAicARaZa/ZC37rAIXALsDs4ET0yyf24n2SpIktepUD9E2wHuBzYrl40kc7Q/8Bvhf4MXAQwBJHB0B3Ai8Hth2Hfs8D7gZ2BNYAczqUFslSZLW0JEeIkIguifN8kU9K5I4+nfgsjTL/63PtjcAWwPHAV/qb2dJHE0B9gXOSLN8bhJHF2MgkiRJw6TtQJTE0YbAFsAXkzg6D7geOA14BXBTEkd/A1YBn0iz/Gdpli8sXreu3W5VPC4tHhe1rOt538nAZGBqu8cgSZLKrRNDZk3gdOADwDFAFfg0YehsGfAWIAcuTuJoszbfp9VZwGLgjjb2KUmS1JFANBH4RZrlV6ZZfiMh/FSBBcCP0iy/BfgqsDGwywD3+XDxOKN4nF7sr9XZwKbAHkNtuCRJEnQmEO0CzEvi6Lgkjp4PHA40gDpwWhJH2wPvJAx/3bmuHSVxNBEgzfJlhCvLTilefwJwTeu2aZYvT7N8Cb3DapIkSUPSdiBKs/w24AxC0fOfgbuATwJnAguB24B3AMe2Fl33VdQEzU3iaL9i1cmEK8zmABsBH2m3rZIkSf2pNJt9S3PGliSOtgXmATPTLJ/f7fZIkqSR124e8E7VkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9AxEkiSp9CZ1YidJHJ0CfArYDLgaeDswHfgesA/wN+CdaZY3kjiqAJ8DTgJWAF9Ks/wr/eyzClwA7A7MBk5Ms3xuJ9orSZLUqu0eoiSOtgDOBf4TqAIvAD4MfAl4AtgTuBU4v3jJEcC7gSOBU4FZSRy9uJ9dnwfcXLx+BTCr3bZKkiT1pxNDZhVgFTAPmE8IQSuBVwE/KHp1zgf2SeJo42L9H9Isn51m+WXA3cBBrTtM4mgKsC9wYfH6i4GDO9BWSZKkZ2k7EKVZ/ghwFnApsATYkDAkthWwtNhsUfG4ZZ/1Pc9t1We3Pd8vXds2SRxNTuJoOjC1zUOQJEkl14khs20J9UPvBQ4ENgA+sJbNm4Ncv65tzgIWA3cM4LWSJElr1YkhswOBiWmWn5Nm+WzgEkKd0CPAjGKb6cXjw33W9zy3oM8+Hy4eZ6xjm7OBTYE92mq9JEkqvU4EojuAKUkcHZvE0U7AocAc4Frg7UkcbU+4ouyGNMufKta/Iomj/ZM4OhzYGfg9QBJHEwHSLF9GuLLslOL1JwDXtL5pmuXL0yxfwprDb5IkSYPWiRqiBnA64SqwBnA/8HHgQ4TL+ucALwXeVbzkV8DXCTVHFwIfSLP89iSOJgNzkzjar9juZMIVZnOAjYCPtNtWSZKk/lSazYGU74xeRQ3TPGBmmuXzu90eSZI08trNA96pWpIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIklZ6BSJIkld6kbjegg7ZO4qjbbZAkSd2xdTsvHg+BqOcf4OautkKSJI0GWwPzB/ui8RCIbgH2Bh4awfecCtwB7AEsHcH37SaPuRw85nLwmMuhjMe8NSEXDFql2Wx2uC3jXxJH04HFwKZpli/pdntGgsfsMY9XHrPHPF6V8ZjbYVH10CwH/qN4LAuPuRw85nLwmMuhjMc8ZPYQSZKk0rOHSJIkld54KKruuCSOngMcD5wIvC3N8tuSONoH+DawJ/B34D1pll/Xz2s/AHwY2AC4CPhomuWjvhtuqMecxNEE4AvASUAF+Alweprlq0ay/UPRznkuXj8BuA7YJs3yHUem1e1p82d7CvBZ4Fjgl2mWv3fkWj50bR7zJ4DTgY2AnwOnpln+9Ig1fgjWcryHAt8Etgf+Crw7zfKb+nntePr8Wu8xj8PPrwGd5+L1Y+7za7jZQ9RHEkfTgPuA44C9inUTgEuA64FdgL8AF/bz2j2BLxF+ud5A+CA9ciTa3Y52jhk4mXC8hwNHEX45jxv2RrepzWPu8T5g32FtaAd14Jh/SjjHJwEfG+bmdkSbv897Af8f8E7gQOBfgLePQLOHbC3HOwX4GfAjYFfgVuDcfl47nj6/BnTMjK/Pr4Eec48x9fk1EuwherZlwA7AxsA9xbqNCT9k30yzfH4SR1cTPhz7Ohi4M83y3wAkcfSHYt1lw97q9rRzzA8DH0qzfDZAEkcLaPPmWCOknWMmiaPtgU8QPnCOGv7mdsSQjzmJo72BGrBXmuV/GaH2dkI757mnZ+Q+4H5CYerK4W1u2551vGmWLwOmAyRxVAGWACv6ee24+fwaxDGPm8+vQRzzWP38GnYGoj7SLF8JLEjiaMeWdUsp/kecxNEk4BTgB/28fCvWvNfDomLdqNbOMadZnvd8ncTREYQPk58Nb4vb1+Z5hjDc8nXgMcbIB0qbx/wKwuW7n0riaF9CV/tpaZYvHu52t6PNn+2/JHH0TUIP0mrg98D3RqDZQ9bf8fZI4uhjwCcJx9Jfz8C4+fzqsb5jHk+fXz0GcJ5hDH5+jQSHzAbvXGAL4KwBbj/qx98HYL3HnMRRFUiB/5dm+dyRatgwWusxJ3H0VsL/zj430o0aZus6z5sR6kp+AsTAAYyRYbP1WNd5fhkhLMXA64CXAG8Z0dZ11reBfYCriq8HYqx/fg3omMfZ59c6j3kcf361zUA0CEkcfQE4FDh8LTe5egSY0fL9dGDBCDRt2AzgmEniaGfgCuBraZZ/ZyTbNxwGcMyfAHYmnNsvANsncdQYwSZ23ACOeQFwb5rlP0mz/AbCMEp1JNvYaQM45kOAu9MsvyTN8t8DvwWOGMk2dkISR9OSOHoLsDrN8jnAd4BXJnE0sc+m4+bzaxDHPG4+vwZxzOPu86tTDEQDVHRDnkr43+KSJI5mFN3ttPzA/R54fhJHteIqllcA13SjvZ0wkGNO4mgb4ErgcuArxTZTu9Xmdg3wPB9CuBX+XoT/Zf2TMVB8ujYDPObfADsncfTGJI72IASJP3WlwR0wwGOeQzjmVydx9ELC7/OcrjS4PauA7wIfTuLoecCbgUbPlVTj9PNrQMc8zj6/Bnqex9XnVycZiAbubGBT4AZgYbEclMRRTDGxbJrltwEfJCTzywlFm1d0p7kdsd5jJvxR2YlwpUbPNvWRb2rHDOQ8z0uz/N40y+8ljMGvTLN8Xpfa2wkDOea7gbcRrkK6sdh2LHe5D+SY68AXCcOEfyD0EH21G41tR5rlTxL+OB4D3AnsBrwVYLx+fg30mBlHn1+DOM/j7fOrY7xTtSRJKj17iCRJUukZiCRJUukZiCRJUukZiCRJUukZiCRJUukZiCRJUukZiCRJUukZiCRJUu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);} 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);} 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8uw1/XZXgR8AHgTJpWoi8GUfXUbiqU+sVAJEndeBOwBfAT4JyJnXUZ1sAxwMU0rUfnBlG1dScVSj1iIJKkeRZE1RbAm9vN99dlOHn8EHUZ/gF4JfAr4InAl4Oo2nBei5R6xkAkSfPvGGBL4KfAl6c7oC7DO4ADgGXA84FT56k2qZcMRJI0j4Ko2hx4a7v5/roMV67u2LoMfwKkNI/hvz6IqqPmoUSplwxEkjS/jga2Aq4FvrS2g+syLIHj2s1Tg6h64RzWJvWWgUiS5kkQVYuAY9vND6ypdWiKfwb+jWYG6zyIqp3moj6pz1ztXpLmz1HAo4DrgC+u60l1GdZBVB0J7AQ8m+bJs2fXZXj3nFQpzZM0ibcBDgYOAw7J8uKqNIl3A04HdgF+BhyV5cUlU857JM24uoOA+2j+YDg2y4t6prXYQiRJ8yCIqs2At7WbH6jLcMX6nF+X4f3Ay4EbgT8DsiCqFgy2Smn+pEm8CLieJtQsbvdtQDMNxaU06/ldCXxmmtOPBfYC9gD2B95A8xDCjBmIJGl+vAF4NPAL4AszuUBdhrcAL6X5i/hFwMkDq06af/cB29M8ODBhU5p/HydleXETcCGw7dQTs7x4X5YXO2Z5cSVwC83SNw/Mphi7zCRpjgVR9Ujg7e3mB9e3dWiyugx/GETVYTQDst8aRNVP6jL810HUKQ3IZmkSbz5pe3mWF8unHpTlxQrgtjSJd5i0bxntQwRpEi8EjgDOXt0bpUl8N7A58JksL86bTdG2EEnS3Hsd8BiaiRZX+8N9XdVlmAP/p908PYiqPWd7TWmArgHumfQ6fobXOQPYei3nLwZeARycJvHeM3wfwBYiSZpTQVRtCvx9u/nBugxn1aw/yftpBp0mwDlBVD2rLsMlA7q2NBs7AzdP2n5Y69DapEl8MrAvsGeWF0un+fpzgCDLi+8AS9Ik/jHNmKILZ1aygUiS5tqRNGMgrgc+P6iL1mX4YBBVfwM8CXgG8J9BVD23LsNlg3oPaYaWTRdi1lWaxMfR/LvZD1iaJvGW7TVXpEm8IMuLlcA+wJFpEr+IZs2/pwD/NJui7TKTpDkSRNUmwDvazX8aYOsQAHUZ/h6IgVuBpwNnB1Hlz3WNuhNoFj6+DLirfe2ZJnECfL895hTgW8AlQAF8KMuLYjZvaguRJM2dI4DHAjcAn52LN6jL8NdBVMXARcDLgPcB75qL95LmQpYXS4Bg0naw+qPJ22PuAw5vXwPhXxKSNAeCqNqYVUtunNCuYD8n6jK8DPjbdvOdQVQdPFfvJY0rA5EkzY3XAo+nmUhxuonlBqouw38DTmo3/zWIqmfN9XtK48RAJEkDFkTVRqxqHTqxLsP1fspmht4JnAtsBBRBVP3JPL2vNPIMRJI0eIcD2wG/Ac6arzdtF4t9NfAT4HE0oWiT+Xp/aZQZiCRpgIKoegSrJpI7sV2DbN7UZfg7muU9fgvsRtN9tqZBqpIwEEnSoP0N8ASaiek+1UUBdRn+kmb23hXAq4B/6KIOaZQYiCRpQIKo2pBV4ePk+W4dmqwuw4uBo9rNDwRR9fKuapFGgYFIkgbnUJrVu2+lWYepU3UZfgo4td08O4iqxR2WIw01A5EkDUDbOvTOdvPkugzv67KeSY4FLgA2Bb4aRNU2HdcjDSUDkSQNxv8G/hS4DTi941oeUpfhCuAg4DqasU3ntNMCSJrEQCRJsxRE1UJWtQ6d0q4xNjTqMrwLOAC4B9gDOM0nz6Q/ZiCSpNk7mGbV+TuAT3Zcy7TqMrwWOBB4kGaepLd0W5E0XAxEkjQLbevQxGKqp9RleG+X9axJXYbfZFUQ+ucgqvbvsh5pmBiIJGl2XgXsRDMR4ic6rmVdfAz4NM3P/yyIqqd0XI80FAxEkjRDQVQtYFXr0IfqMlzWZT3roi7DGngj8D/A5sC5QVRt3W1VUvcMRJI0cwcCfwbcxWi0DgFQl+EfaGayXkIz9ulL7bQBUm8ZiCRpBtrWoXe3mx+uy3Bpl/Wsr7oMb6dZ82wZsDfw0U4LkjpmIJKkmXkl8BTgbppxOSOnLsMfA68GauCoIKqOWssp0tgyEEnSegqiagNWtQ59pC7De7qsZzbqMvxPVq2/dmoQVXt3WY/UFQORJK2/vwZ2oZno8NS1HDsKTgL+HVgAfDmIqh07rkeadwYiSVoPbevQP7ab/1KX4d0dljMQ7ZNnRwDfBbYC/jOIqi26rUqaXwYiSVo/MfB0YCljNBC5LsP7ae7tJpqxUVk7cFzqBQORJK2jdv2vidahU9s1wsZGXYY3Ay8D7gNeTNOVJvWCgUiS1t1LgT+neVT9o92WMjfqMvw+8Dft5rFBVB3eYTnSvDEQSdI6aFuH3tNufqwuw992Wc9cqsvwS8D72s0zgqjao8t6pPlgIJKkdRMBuwL3Ah/uuJb58F7g/wIbAucEUbV9x/VIc8pAJElrMWXs0MfrMryjy3rmQ12GDwKHAT8CtgG+GkTVZp0WJc0hA5Ekrd2Lgd2A3wMf6riWeVOX4b00g6xvpRk79fl22gFp7Pg/tiStwZSxQ59s1wDrjboMbwBeDvyh/fjebiuS5oaBSJLWbD/gWTSPop/ScS2dqMvwUuDIdvNdQVS9qst6pLlgIJKk1ZjSOnRaXYa3dllPl+oy/Bzwz+3mZ4Ko2q3LeqRBMxBJ0urtAzwbuJ9VYaDPjge+BmxMM8j68R3XIw2MgUiSpjGldeiMugxv6bKeYVCX4UrgYOBq4PHA14Ko2i+Iqu26rUyaPQORJE1vb2APYDlwcse1DI26DJcCB9DMx7QYOB+4Poiq13ZZlzRbBiJJmt7EvENn1mX4m04rGT5/ADaZtL0BzYzWthRpZBmIJGmKIKqeDzyP5he/rUMPtxMP//2xANixg1qkgTAQSdLDTYwd+nRdhjd2Wslwug54cMq+lcDPO6hFGggDkSRNEkTV84DnAw8AJ3ZbzXBqQ+KRNCGI9uPrDI8aZQYiSfpjE2OHzqrL8NedVjLE6jI8C9gBeAGwQ7stjayFXRcgScMiiKo9gBdi69A6aVuEbBXSWLCFSJJWmRg79Nm6DK/vtBJJ88pAJElAEFXPAfYFVgD/1HE5kuaZgUiSGhNjhz5Xl+GSLguRNP8MRJJ6L4iqZwEvonlaytYhqYcMRJK0auzQv9Vl+MtOK5HUCQORpF4Lomp3YH+a1qEPdlyOpI4YiCT13bvbj/9el6EzLUs9ZSCS1FtBVD2DZuX2B7F1SOo1A5GkPpt4siyry/BnnVYiqVMGIkm9FETVYuBlQA18oNtqJHXNQCSprybGDn2xLsNrOq1EUucMRJJ6J4iqEPhrbB2S1DIQSeqjidahvC7DqzutRNJQcLV7Sb0SRNXTgFe2m+/vshap79Ik3gY4GDgMOCTLi6vSJN4NOB3YBfgZcFSWF5dMOW8D4GTgcCAA/gM4OsuLlTOtxRYiSX3zrvbjl+syvKrTSqQeS5N4EXA9cBCwuN23AXAOcCmwI3Al8JlpTn8tTRjaD3gJTaA6aDb1GIgk9UYQVU8FDmw3bR2SunUfsD2QTtq3KfAF4KQsL24CLgS2nebc24Fjs7y4IsuLS4HbVnPcOhtYl1maxDnwyiwvgjSJnwB8DtgNuBZ4TZYXVZrEewJfApYBB2R5ce2g3l+S1sG7aJrXv1KXYdV1MdKY2ixN4s0nbS/P8mL51IOyvFgB3JYm8Q6T9i0DjgNIk3ghcARw9jTnFhOfp0n8Ypow9H9nU/RAWojSJH4p8PJJu04B7qXp//sxcFa7/+3AO4DPA0elSbxxmsSfSpM4GEQdkrQ6QVTtDLyq3Xxfl7VIY+4a4J5Jr+NneJ0zgK3XdH6axCGQAW/K8uKGGb4PMIBA1KbATwAfm7R7L+DstrizgN3SJN60fb8bgd8AC4ATgUuyvKhnW4ckrcU7aVqHvlqX4Y86rkUaZzsDW0x6nbC+F0iT+GRgX2C/LC+WruaYJwHfAP4ly4szZ15uYxBdZicBFwD/Bby53fcYmm4xgLvbj4+mCU5fAf5A04r0rCwvJs75I2kSbwRsBGw2gBol9VgQVU+meZIFbB2S5tqy1YWYdZEm8XHAkTQDppemSbxle80VaRIvyPJiZZrEj6PJHucBH2mPWdF2uc3IrFqI2jFBMfC2dTi8zvLifJrmr4mBjeenSbwkTeKyDUCTHU/T1OYMspJm6500P+/Kugx/0HUxktboBJqWpcuAu9rXnmkSJ8D322OOBP6U5kmziWPK2bzpbFuI3kUTcH45ca00ie8G7gC2bI+ZGFh1O0Cb7E5rzz0JeAPwRmB/mtajCScAHwYeh6FI0gwFUbUj8Op2871d1iLp4bK8WELTnT2xvaZxxXl7zHsZ8L/n2Y4h+hvgyTTzB/xdu28xcDFwaPu02eHAZVle3A+QJvFewK1ta9ECmi6137efPyTLi+Vtk9uMm78kCfgHmp8vX6/L8Iqui5E0nGYViLK8uCXLiyVturut3bcEOJamxehqYFfgbyedczFwTLt5Ik3/33bA+bOpRZKmCqLqicCh7aZjhySt1sDmIcryoqRt8mqfLtt7DcfW7cezmWZ+AUkakInWoW/UZXh518VIGl7OVC1pLAVRtQPNdP7g2CFJa2EgkjSujqdpBb+gLsNLuy5G0nAzEEkaO0FUTTzQAbYOSVoHBiJJ4+h4YEPgwroML+m6GEnDz0AkaawEUbU7zYKQYOuQpHVkIJI0NoKoei1wOaueoN2pw3IkjRADkaSxEETVdsCZTJrxFjij3S9Ja2QgkjQuduLhP9MWADt2UIukEWMgkjQurgPqKftWAj/voBZJI8ZAJGks1GV4I3DLpF0rgde1+yVpjQa2dIckdakdK/Q44EHgZcCPDEOS1pWBSNK42Lf9+N26DMtOK5E0cuwykzQu/qr9+M1Oq5A0kgxEkkZeEFUbsKqFyEAkab0ZiCSNg12BrYHfAd/tuBZJI8hAJGkcTHSXXViX4QOdViJpJBmIJI0Du8skzYqBSNJIC6LqkcCe7aaBSNKMGIgkjbq9gA2BXwG/6LgWSSPKQCRp1E2MH7qgLsOpS3dI0joxEEkadc4/JGnWDESSRla7XMdTaJbruLDjciSNMAORpFE2ebmOuzqtRNJIMxBJGmV2l0kaCAORpJE0ZbmOC7qsRdLoMxBJGlWTl+u4vONaJI04A5GkUTXROuRyHZJmzUAkaVQ5fkjSwBiIJI0cl+uQNGgGIkmjaGK5jiW4XIekATAQSRpFD3WXuVyHpEEwEEkaRRMDqu0ukzQQBiJJI6VdruOpuFyHpAEyEEkaNS7XIWngDESSRs3E+CFnp5Y0MAYiSSOjXa5jn3bT8UOSBsZAJGmULAYejct1SBowA5GkUTLRXeZyHZIGykAkaZS4XIekOWEgkjQSpizX4YBqSQNlIJI0KiYv1/HzbkuRNG4MRJJGhct1SJozBiJJo8LlOiTNGQORpKHnch2S5pqBSNIomGgd+p7LdUiaCwYiSaPAx+0lzSkDkaSh5nIdkuaDgUjSsFuMy3VImmMGIknDzuU6JM05A5GkYTcRiJydWtKcWdh1AZK0OlOW63D8kDRm0iTeBjgYOAw4JMuLq9Ik3g04HdgF+BlwVJYXl0xz7vbAIe25u2Z5sWw2tdhCJGmYuVyHNKbSJF4EXA8cRDNWkDSJNwDOAS4FdgSuBD4zzblPBX4KvKw9btYMRJKG2UOzU7tchzR27gO2B9JJ+zYFvgCclOXFTTQTsW47zbnXA48D3j6oYuwykzTMnH9IGj2bpUm8+aTt5VleLJ96UJYXK4Db0iTeYdK+ZcBxAGkSLwSOAM6e5tx722MGVrQtRJKGkst1SCPrGuCeSa/jZ3idM4CtZ3H+erGFSNKwcrkOaTTtDNw8afthrUNrkybxyTQ/A/bM8mLpoApbEwORpGFld5k0mpbNJsSkSXwccCSwH7A0TeIt22uuSJN4QZYXKwdU5x+xy0zS0HG5DqnXTgC2AC4D7mpfe6ZJnADfn6s3tYVI0jBajMt1SL2Q5cUSIJi0Haz+aPIp5140+dzZsIVI0jCa6C77tst1SJoPBiJJw8jxQ5LmlYFI0lBxuQ5JXTAQSRo2z8PlOiTNMwORpGHzUHeZy3VImi8GIknDZiIQXdBpFZJ6xUAkaWi4XIekrhiIJA2Tyct13NlpJZJ6xUAkaZj4uL2kThiIJA0Fl+uQ1CUDkaRhsRiX65DUEQORpGHhch2SOmMgkjQsHD8kqTMGIkmdc7kOSV0zEEkaBi7XIalTBiJJw+Ch2aldrkNSFwxEkoaB44ckdcpAJKlTLtchaRgYiCR1zeU6JHXOQCSpaxOByO4ySZ0xEEnqTLtcx0QguqDLWiT1m4FIUpcW0yzXsQy4rNtSJPWZgUhSlyaeLrvQ5TokdclAJKlLPm4vaSgYiCR1ol2uY49200AkqVMGIkldeR7wCOB6XK5DUscMRJK68lB3mct1SOqagUhSVxw/JGloGIgkzTuX65A0bAxEkrrgch2ShoqBSFIXnJ1a0lAxEEmaV1OW63D8kKShYCCSNN8W43IdkoaMgUjSfHO5DklDZ+EgLpIm8duBtwKPBM4HDge2Bj4H7AZcC7wmy4sqTeI9gS/R/HV4QJYX1w6iBkkjw8ftJQ2dWQeiNIn3BT4I7A/cDHwLeBNNs/i9wC7Ae4GzgN2BtwPvALYHjkqT+B3Ax4Ajs7xwcjZpjE1ZrsMB1ZKGxiC6zP4AvCPLi29lefETmtagbYG9gLOzvLiBJgztlibxpu173gj8BlgAnAhcYhiSemHych3XdVyLJD1k1i1EWV5cDFwMkCbxnwPPpmkBOoamWwzg7vbjo4FPAF+hCVKnAM/K8uLNU6+bJvFGwEbAZrOtUdLQcLkOSUNpYIOq0yTeDjgX+FCWF5ev5rA6y4vzacYXPRU4EDg/TeIlaRKXbQiacDxwD3DNoGqU1DnHD0kaSgMJRGkSP5pmPMCFwLva3XcAW7afb95+vB0gy4uVwGntsccAb2i/vv+ky54AbAHsPIgaJXXL5TokDbNZB6I0iTcDvg7cABwLbJEm8eY03WiHpkn8BJqnzi7L8uL+9py9gFvb1qIFNF1qv28/ByDLi+VZXixlVbebpNG2T/vxCpfrkDRsBtFC9Aqap8f+iqZV6C6goglHC4GrgV2Bv504oR13dEy7eSJwHrAdzSP7ksaT3WWShtYgBlV/jma+oensvYbz6vbj2cDZs61D0vByuQ5Jw86ZqiXNh8W4XIekIWYgkjQfXK5D0lAzEEmaDxPdZc5OLWkoGYgkzal2uY49203HD0kaSgYiSXPN5TokDT0DkaS55nIdkoaegUjSXHP+IUlDz0Akac4EUfUnNMt11Lhch6QhZiCSNJcmni77nst1SBpmBiJJc8nuMkkjYdZLd0jSdFyuQ9LapEm8DXAwcBhwSJYXV6VJvBtwOrAL8DPgqCwvLpnm3LcAbwM2BD4LvGNiWbCZsIVI0lxZjMt1SFqNNIkX0UzHcRDNzwvSJN4AOAe4FNgRuBL4zDTn7gKcAhwOHAAcDew/m3oMRJLmykR32bddrkPSNO4DtgfSSfs2Bb4AnJTlxU00D2NsO825zwOuy/Lim1leXA58p903Y3aZSZordpdJ/bRZmsSbT9penuXF8qkHZXmxArgtTeIdJu1bBhwHkCbxQuAI4Oxp3uMxNK3PE+5u982YLUSSBs7lOqReuwa4Z9Lr+Ble5wxg6/U4f1YTv9pCJGkuuFyH1F87AzdP2n5Y69DapEl8Mk0r855ZXiyd5pA7gC0nbW/OLH/WGIgkzQWX65D6a9lqQsw6SZP4OOBIYD9gaZrEW7bXXJEm8YIsL1YC/w18PE3iCLgFeC7wodkUbZeZpLkwEYgu6LQKSaPoBGALmqdT72pfe6ZJnADfB8jy4irgrcCZwHnAx7O8+MZs3tQWIkkDNWW5jv/quBxJQy7LiyVAMGk7WP3R5JOO+yjw0UHVYQvRICxfwbeXPY0bH9i660qkYeByHZJGjoFotm65F757C3sv+QDbX/spzrpzn64rkrrmch2SRo6BaDaWr4Dr7npo80E24HW/eYMtReotl+uQNKoMRLNx34qH7VrJAp7/y/fzj7emfO/3O/JgvaauUGnsLMblOiSNIAdVz8Ym0337an7xwON5/+0H8f7bD+KxC+8kWnQFByz6HvtsdiWbbvCHeS9TmkcTrUMu1yFppBiIZmOjhbDTVg91my1gJac89jNsteBezv3d7nxj2a7csuJRfPquv+LTd/0VGwfLeeFmFQcs+h7Roiv4kw0db6qx4/ghSSPJQDRbj30kbLUR377tCHbc6Ga22/C3ABy21bdZ/uBCLr73aZz7u90593e7c/0D2/C13+3O1363OwDP2PgXHLDoexyw+fd4xsa/ILB3TSPM5TokjTID0SBstJDnb3bVw3dvsIK/WvQj/mrRjzi1/hRXLd+ec5fuzrm/243L73syP7j/Sfzg/ifx3ttfxeMX/pZo0RWcGVUR8F91Gd43/zcizYrLdUgaWQaieRIE8PSNr+fpG1/PP2zzZW5dsQVf/90zOfd3u/PNZYv5zYqtOfOu/QDOBe4Loupb7edlXYY3r/Hi0nB4aHZql+uQNGoMRB3ZduE9HL7VhRy+1YXc/+CGXNR2rX3yzv1/Dfwv4ID2RRBVV9CEo3OBH/nLRkPKx+0ljSwfux8CG2/wAC9a9EM+8fgzAbaneXT53cB320N2A94L/AC4IYiq04Ko2j+Iqo27qFeaql2uYxdcrkPSiLKFaMi0rT9Xtq8PBFH1WOAlNK1F+wLbAa9vX78PouoCmpajr9VleEs3VUsu1yFptBmIhlwbcs4CzgqiahPgBazqTvsT4GXtiyCqvsuqrrXKrjXNIx+3lzTSDEQjpH3y7OvA14OoOoqma20iHO0GPKt9vZ+ma62kCUffrstweSdFa+xNWa7jgi5rkaSZMhCNqLb154ft631BVD2eVV1r+wBPAI5qX/cGUfVNVnWt3QYQRNV2wE7AdXUZ3jj/d6ExsRiX65A04gxEY6Iuw98AnwI+FUTVpsDeNOEoAh4PvLx91UFUXQ78BohpBtY/GETVkXUZntVF7Rp5k5frcG0aSSPJQDSG6jL8PVACZRBVAfAMVnWtPQN49pRTNgDOCKLqG7YUaQYcPyRp5BmIxlzbtfb99vV/2sej39q+JlsA7AgYiLTOXK5D0rhwHqKeqcvwJuAjwIPTfPkR81yORt/Ech034HIdkkaYgaiH2m6xI4GVU750ThBVL+ugJI2uh7rLnOZB0igzEPVUO4B6B5p5jXaheVz6kcBXgqh6ezv2SFobl+uQNBYMRD1Wl+GNdRleVJfh1cD+wCeBADgZ+HQQVXahabVcrkPSODEQCYC6DFfUZfhG4Bia8UWvAb4ZRNXW3VamIeZyHZLGhoFIf6Quw4/TTPD4O2Av4PIgqnbutqrRF0TVdkFUvaCdDHNcTIwfcnZqSSPPQKSHqcvwfOC5wBLgScBlQVTt02lRIyyIqtcC1wMXAte32yNtynIdjh+SNPIMRJpWXYZXAX8BfAfYAjg/iKrXd1vV6Ami6ok0M4hP/FubmARz1FuK/hyX65A0RgxEWq12zbMXAmfTTNx4WhBVHwmiakG3lY2GIKr2AL5NM1B9sgWs6m4aVRP1u1yHpLFgINIa1WV4P3Ao8K5215uBrwZRtXlnRQ25IKoWBVH1MeB/aBbZnc6ngqg6NYiqreaxtEFyuQ5JY8VApLWqy7Cuy/CDQALcRzPo+pIgqnbotLAhFETVi4CrgKNpWob+Ffg7Vk2CuRK4gubf3jHAz4KoOqIdkzMSpizX4YBqSWNhZH4Iq3t1GX6ZZqmGm4Gn0TyB9pxuqxoOQVRtHUTV54HzaFqFfgXsW5fha+sy/BirJsHcoS7D3YF9gJ/SjMP5FM3A9Wd1Uvz6m7xcx886rkWSBsJApPVSl+EVwLOAHwHbAN8OourgTovqUBBVQRBVB9GEm0No5nD6CPD0ugy/NXHcpEkwb2y3/4tmYPJbaaY42J0mYJ4VRNU2830f6+mhp8tcrkPSuDAQab21v9T/EiiAjYB/D6LqfaPU7TMI7ZNiXwW+CDwG+Anw3LoM31qX4b1rO78uwwfqMvwI8GTg8+3u19B0o/1dEFUL56j02XL8kKSx06tfYBqcugyXAa8ATmp3vRvIgqjapLuq5kcQVRsEUXUkTQA6AHgAeA/wjLoML1/f69VleEtdhocBewA/pJnm4F+AHwRRtdfgKp89l+uQNK4MRJqxugwfrMvwOOBwmlBwIHBREFWP67ayuRNE1U40EyyeAWxOMwfPrnUZvm+2j5/XZfgdmq6z1wN3Ak+n+X5mQzRv0UR32RUu1yFpnBiINGt1GX6WZpDwnTTji74bRNXiLmsatCCqFgZR9fdARbOkye9ppiDYsy7DnwzqfeoyXFmX4Rk03Win0bTEvAq4Joiq44Ko2mhQ7zVDdpdJGksGIg1EXYb/TTOz9bXAdsD/C6Lqpd1WNRhtuLucpntwY5pHzZ9Wl+G/1GW4ck3nzlRdhr+ty/Ao4Jk0s4U/EjgB+HEQVS+ei/dcm3aM2MQSLgYiSWPFQKSBqcvw58BzgG/R/AIvgqh6WxBVU2dqHglBVG0cRNUHaeYNegZwN0334H51Gf5qPmqoy/CHNHP+HArcAuwEfD2Iqq+2y4LMpz+nGTzuch2Sxo6BSANVl+FdwP7A6TQTE/4zzazMj+i0sPUURNWeNFML/APNUhtfBp5Sl+Fn5/tR83ZizH8D/gz4ELACeClwdft036bzVIrLdUgaWwYiDVxdhg8ARwFvopmX57XAN4Oo2rrTwtZBEFWbB1H1CZplN/6MplXmr+syTOoyvKXL2uoyXFqX4duAkKYVbiOap/t+GkTVK+ahJW4iEDk7taSxYyDSnGhbNU4FIpqJB/eimY35z7qtbPWCqNqfZtmNo9pdZwFPrcvwK91V9XB1Gf6UJpy8gma26CfQtGBdEETVU+fiPacs1+H4IUljx0CkOVWX4XnAc4HrgR1pQtELu63qjwVR9eggqs4Gvgb8L+CXwD51GR7RdgEOnTZwngM8BXgfsBx4IXBlEFWnzMHiuy7XIWmsGYg05+oyvIrmcfzvAFsC3wii6nWdFsVDy26kNMtuvJqme+9DNMtujMSkg3UZ/r4uw/cAT6WZNXshcCxwbRBVhw5w9nCX65A01gxEmhd1Gd5G04Lx7zSDlE8PouojQVQt6KKedqLD/wS+QLPA6lXAc+oyfFtdhr/voqbZqMvwl3UZxsCLgeuAxwKfA/4niKpdB/AWzj8kaawZiDRv6jK8n2YB1He3u94MfHUOundWq1124/XA1TTjmx4A/hF4Zl2G352vOuZKXYbn08xwfRxwL0135feDqDptpoPapyzXceGgapWkYWIg0rxqx758gGaZj/uBlwCXBFG1w1y/dxBVTwa+TTMD9CLgUmBxXYbvH6fHyOsyXF6X4Uk0T8llNNMfvJ5m0djXz6BVbvJyHb8dYKmSNDQMROpEXYY5zUDdW4CnAZcHUfWcuXivIKo2DKLqOJplN55H03LyJuAv6zK8ei7ecxjUZXhTXYYHA88Hfgw8iiYMfi+Iqueux6XsLpM09gxE6kxdht+jGWz9I2Ab4NtBVB08yPdox89cTrPsxUY0v9SfVpfhqXO17MawqcvwYpqZtv+OZrbtXWla5T4XRNVj13Suy3VI6gsDkTpVl+Gvgb+kGeC8EfDvQVS9d7aTDAZRtUkQVScA36MJAHcBhwEvqstwyeyqHj11Ga6oy/BjNN1oZ9GMBzqUphvtrUFUbbiaU12uQ1IvGIjUuboMlwF/TbPMBzSDnLMgqjaZyfWCqPpLmlan42ieaMtplt34fN8fGa/L8La6DI8Ank0TFhfRTDVwZRBV+0xzykR32UXjNM5KkqYyEGko1GW4si7Dv6dZ5mMFcBBw0dq6dCZrl934JPDfwJOBm4GX12V4YF2Gt85F3aOqfaLu2TTf79tpJni8IIiqLwdRtf2kQx0/JKkXDEQaKnUZ/ivNU0130owv+m4QVX++tvOCqHoJ8BPgDe2uT9Esu1HMUakjry7DB9vv95OBU4GVNMuB/DSIqncFUfU0mu5MMBBJGnMGIg2dugwvAv4CuJZmKY1Lgqg6YLpjg6h6TBBVXwBKYDvgF8DedRkeWZfh3fNT8Wiry/DuugzfRDPW6mJgE+D9NE+mTYwt2nM1p0vSWFjYdQHSdOoy/Hn7GH5OM8P1V4OoejvwH8BONLMx7wX8C7A1zbIbHwbeM4ozTQ+Dugx/HETVC2jmLPrklC+fEUTVN+oyvLGD0iSNqTSJtwEOpnno5ZAsL65Kk3gh8CLgb4Brs7x45zTnbUAz/vE1NA/NHJ/lRTabWmwh0tBqF1Z9MXAGzeSCp9AsLnoh8GvgbJowVAF/UZfh2w1Ds9MOOr9mmi8toFmcV5IGIk3iRTQLfx8ELJ70pX+n+QN3T5qnj6dzGE1g2ht4C/DZNIl3mE09BiINtboMH6AZF/SedtfUx/FPBnary/CKeS1svF1H0+I22Urg5x3UIml83QdsD6RT9r85y4snM/0fZxP+Argky4vvZ3nxFeCXrHoIZEbsMtPQq8uwDqLqf1bz5fPa0KQBqcvwxiCqjqRpmVtAE4ZeZ3eZpHW0WZrEk9eoXJ7lxfKpB2V5sQK4bWrLTpYXN6/De/wKeGmaxI8BtqRZpHubGVeMLUQaHbZazKO6DM8CdgBeAOzQbkvSurgGuGfS6/g5eI/TaYZO3AycCzyi/XzGbCHSSLDVYv6131u/v5LW1878cTh5WOvQbGV5cQ/wF2kSb00z8/6tNE/GzpiBSCOjLsOzgqj6Bs3g3p8bhiRpKC3L8mLpXFw4TeIFWV6sbD/fBHgCzVqVF2V58d3ZXNtApJFiq4Uk9VOaxAnwTlY9kfZW4M0089C9bbbXNxBJkqTOZHmxhIc/QUyWF8+fsp3TzE03sf1B4IODqsNB1ZIkqfdsIeq74544mNXfT/zlw9K9JEmjwkA0goKT7hxMiKEZmi9JUt/ZZSZJknrPQCRJknrPQCRJknrPMUQaPfM8EHxQY7bqdzzKgeeSNKRsIZIkSb1nC5HmzcBaWgZxEUmSJjEQSfPFOZ8kaWgZiCSt3qBCHMxvkDN8SlpPBiJpDNk9KUnrZ04DUZrEBwEnAFsBXwHeALy//Xgu8OosL/yZK0mSOjVngShN4q2BzwBvBC4HvgW8DUiBvwA+DyxOk3gRsHOWF2fOVS2SRoMtW5K6MpctRM8CAuCzWV7UaRJ/HXg+cB+wBFgKPIqmBSmawzokac4MdG3Bu3YbzIUc+yStt7kMRI8B7p3UJXY38ETgYuAe4ELgCOADWV7cNvXkNIk3AjYCNmt3bZsm8cCL3Dg8ZSDX+e2KwXwrj07iP1nbMYOqGUaz7vmsGUaz7mGrGUaz7nH+91iEp9w4iPe68Z79B3EZjr7+qdsN5ELq0rZdFzAbQV3PTeNymsSHAh/O8uLR7fYpwK5ZXrwwTeINgVcALwQWAPsC/5TlxWmTzv8/wHvmpDhJkjRXnpnlxQ+6LmJ9zWUL0R3AojSJN8jy4kFgc2CiJeixwLHAW4EP04wryoHTJp1/Qvs1gKcAs/1rZjPgGmBnYNksrzUKvN/x1qf77dO9gvc77sb9frcFfth1ETMxl4Hou8BK4HVpEn8beDHwgfZr/wgcA6wA/gD8lma80UOyvFgOLG83L59tMWkSb95+enOWF0tne71h5/2Otz7db5/uFbzfTouZBz2435u6LmCm5mwtsywv7gAOB/4euBT4JvDZ9stHZnlxGfAD4Faa8HTqXNXSWg68l1Uha9x5v+OtT/fbp3sF73fc9e1+R8acjSGSJEkaFa52L0mSeq83S3dMN2t2O05pZKVJ/HaagemPBM6n6aLcGvgcsBtwLfCaLC+qNIkD4MT2mAeAU7K8+Egnhc9CmsQ58MosL4I0iZ/AeN/rAuB4mvv4aZYX0bjec5rER9A8VboVzZQch9I8iDEW95om8TbAwcBhwCFZXlw15etvoZm4dkOaoQXvaOdvC4F/Bf4MuAI4LMuLG9ppST4J/DXNlCbHZ3nxxXm6nbVa0/2mSbwBcDLNf78A+A/g6CwvVo7j/U46ZgPgEuBxWV7s0O4byfsdV71oIZo0a/b7gT2AF9HMgTSy0iTeF/ggcAjwHOAvgTcBpwD3ArsAPwbOak95Mc2SKfsDRwIfSpP46fNc9qykSfxS4OWTdo3tvbY+SjPT+9toAgKM4T23/z7PoPn/OaR5qvRtjMm9trPxXw8cBCye5uu70Nzr4cABwNE09wbwaeD7NN+DB4APtftfC+xD82//JOBf0yR+zJzdxHpY2/3S1H44sB/wEpoQcVD7tXG83wnHALtP2Tdy9zvOehGI+ONZs68Gvg48r9uSZu0PNH9FfivLi5/Q/AW9LbAXcHaWFzfQ/ALZLU3iTdv938ny4oosL74G/BLYs6Pa11v7ZMYngI9N2j2W9wqQJvG2wOuB12d58ZUsL+5svzSO9xzQPJF6I80TKvfSPIE6Lvd6H7A9zfQi03kecF2WF9/M8uJy4DvA89Ik3oTmF+hn2u/B51n1c2sv4LwsL64BzqSZz21A01zP2tru93bg2Pa/36U007FsO8b3S9uy+26a4D+xb1Tvd2z1JRBNN2v2SKftLC8unugmSJP4z4FnA1+gua+JuS3ubj8+esr+ia+N0vfgJOAC4L8m7RvXe4UmxC8ADkyT+NdpEp+XJvF2jOE9t0+kHk+z4PNS4BE0XWJjca9ZXqyYbjb+SVZ3PxP3tGzK/j86p53n7XcMyfdgbfeb5UWR5cVnAdIkfjHNH3L/lzG939bpNE9S/3TSvpG833HWl0A0nbF4vK79JXku8KH2r8vprO5eR+J7kCbxnkBM042yNiN9r5NsRVPzJcBLaX5p/PNqjh3pe06bZSbeQ9M9uAfNOJq3rObwkb7X9TCT+xyp70E7fiYD3tS2kExn5O83TeJX07QgnbgOh4/8/Y6yvgSih2bNbrcnz5o9stIkfjRNq8mFwLva3XcAW7afT0wAdvuU/RNfG5XvwbtoBov/EvgiQJrEdzOe9zrhNuC+LC8+meXFD2nuO2Q873kPYEF7r1cA59CMExrHe53O6u7n9nZ7yyn7/+icdpD5Ikboe5Am8ZOAbwD/kuXFme3ucb3fdwNPoqn3ZOAJaRJXjO/9jqy+BKLJs2bvTPPD9qJOK5qlNIk3oxkLdQPNMihbtONsLgYObfusDwcuy/Li/nb/c9MkfnaaxPvR/AP9726qX29/AzyZZsDi37X7FjOe9zrhUmB5msRHp0m8A00L2Q8Yz3u+BtgkTeID0yT+U5q1Da9mPO91Ov8NPDFN4ihN4t2A5wIXZXlxH82TR0e034P/zaqfWxcD+6dJ/FSaAbgrgO/Ne+UzkCbx42j+kDsP+EiaxFumSbzZuN4vzeDonWl+Zp0I/AbYf4zvd2T14rH7LC/uSJP4cJr/Gf+J5i/Qz3Za1Oy9glVPLNzRfryeZlDeZ2l+oVxDEyagCU+n0nSvPQC8JcuLyf3ZQyvLi1smPk+T+LZ235I0iY9lzO51QpYX96RJ/Arg4zTTRVxEE3w3ZszuuX2U/miaJ2y2ZFWL56aM2b1OlibxEuA9WV58Lk3it9IMnt0Q+HiWF99oD3stzYDyq2n+sHtdu//TwDNoulTvBg6fNPB+KE3cL7AD8Kft6/D2yxcDz2cM7zfLi89N2ncnsCLLi4m1OcfmfseBM1VL0jxr55i6G3hFlhff7LicOef9ahT0pctMkobJ7jSLVv/X2g4cE96vhp4tRJLUgTSJg0lTgYw971fDzkAkSZJ6zy4zSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUewYiSZLUe/8fh14Q//hMtSoAAAAASUVORK5CYII=);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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A3Au9J0tqT0y3aITNpEoJqYxH5f4BgIJKkHbmDPKw0v86d5vtcAuw5wet3B+YB/wZEwMtpc9jMDpE0Oa8m/49vJfCLckuRpK52OPBgy/Z23aGdiaPwE+Rd+WOStLZ2nEPWACuTtPZvxfH/D6hMo9anGYikyXl6uCyrV7JSK5Gk7rZughAzKXEUngOcAbwWWBtH4bLiPUfiKBxK0too+Z0CPhNH4W8DPyP/N/pf2ynaITNpcpw/JEmz43xgKXAz8HjxdUwchRFwC0CS1u4BTgU+BfygOPaCdj7UDpG0E0G1cQD5ehgZcE3J5UhSX0nS2kogaNkOJj6atOW4tHW7XXaIpJ07sXi8JatXHi21EknSjDAQSTvncJkk9TkDkbQDQbURsK1DZCCSpD5lIJJ27IXAfsAG4Psl1yJJmiEGImnHmsNlN2T1ypTX0pAk9QYDkbRjzh+SpAFgIJImEFQbC4Bji00DkST1MQORNLFXALsCq4HbSq5FkjSDDETSxJrDZVd5uw5J6m8GImlizh+SpAFhIJLGEVQbewJHFZtXlVmLJGnmGYik8b2G/N46/5PVKw+UXYwkaWYZiKTxOVwmSQPEQCSNUdyuw0AkSQPEQCRt7znAcmALcH25pUiSZoOBSNpeszv0/axeWV9qJZKkWWEgkrbncJkkDRgDkdQiqDbmkl9hBgYiSRoYBiLpmY4GlgKPA7eUXIskaZYYiKRnag6XXZPVK6OlViJJmjUGIumZfqt4/GGpVUiSZpWBSCoE1caZwMuKzb8Jqo13lVmPJGn2GIgkIKg2DgI+37JrDnBJsV+S1OcMRFLuMPJ7l7UaAg4toRZJ0iwzEEm5u8bZNwrcPduFSJJmn4FIyi0esz0KvCerV1aVUYwkaXbNLbsAqUu8vni8Hvhz4G7DkCQNDgORlGsGosuzeuW6MguRJM0+h8w08IJqYzHwqmLzm2XWIkkqh4FIghOAeeTDZONNrpYk9TkDkbRtuMzukCQNKAORBlpQbQQYiCRp4BmINOh+HTgQ2Eh+hZkkaQAZiDTomt2hq7N6ZVOplUiSSmMg0qBzuEySZCDS4Aqqjd2BVxSbV5RZiySpXAYiDbKTyG/gentWr6wsuRZJUokMRBpkDpdJkgADkQZUUG3MAV5XbBqIJGnAGYg0qF4M7AM8BdxYci2SpJIZiDSomsNl38nqlc2lViJJKp2BSIPK+UOSpKcZiDRwgmpjb+ClxaaX20uSDEQaSK8FAuAnWb3yQNnFSJLKZyDSIHK4TJL0DAYiDZSg2hgCfrPYNBBJkgADkQbPy4DdgceBH5RciySpSxiINGiaw2XfyuqVkVIrkSR1DQORBk0zEHl1mSTpaQYiDYyg2jgAOLLYvLLMWiRJ3cVApEHSnEz9w6xeWVNqJZKkrjK3nRfHUTgX+GvgjGJXHTid/B5RXwGOBu4E/iBJa404Co8BvgasA96QpLU72/l8aYq83F6SNK62AhHwNvIAVAUeBa4lD0fHAOuBI4DzgC8BLwE+ApwNHAycGUfh2cDngDOStJa1WYs0oaDamAecXGwaiCRJz9DWkFmS1r6SpLU9krR2I7Aa2AxsAY4FLk3S2n3kYejoOAp3Kz5vFfAAMARcANxoGNIseCWwGHgY+O+Sa5EkdZl2O0QAxFHYAF4AXAd8AbiIfFgM4Inica9i/+XkwelTwEuTtPaBCd5zAbAAWNSJGjXwmsNlV2b1ytZSK5EkdZ1OTap+Pfn9oV4EvGOCY7IkrV0J7Ekent4MXBlH4co4CutFAGp1LvAkcEeHatRgc/6QJGlCbQWiOAorcRSelKS1VUlau5p8DtFxwCPAsuKwJcXjwwBJWhsFLgY+BpwFvK94vvkLq+l8YClweDs1SkG1cTD5fLatwLdLLkeS1IXa7RC9CLgsjsLfiKPwCODlwI+B64G3x1H4bOCdwM1JWtsEEEfhscBDRbdoiHxIbUPx/dOStDacpLW1bBt6k6brdcXjTVm98liplUiSulK7gehS4BLgG8ANxeNFwIfI5yfdTr4Q3unNFyRp7XryzhDkk6qvAA7ChfI0cxwukyTtUFuTqourwz5cfLW6D3jNTl5HktYuJQ9V0owIqo0FwAnFpoFIkjQuV6pWv3s1sBvwIHBrybVIkrqUgUj97unhsqxecb0rSdK4DETqd84fkiTtlIFIfSuoNg4FnguMAFeVXI4kqYsZiNTPmpfbfzerV9aWWokkqasZiNTPHC6TJE2KgUh9Kag2dgOOLzYNRJKkHTIQqV8dT35z4HuBn5VciySpy3XkbvdSF/Jye0nqcnEU7gO8FTgNODVJa7fFUXg08AXye1D+HDgzSWs3TvD6OcCNwP5JWlveTi12iNR3gmojwPlDktTV4ihcTN7FPwVYUeybA1wG3AQcSr6g7pd38DZnAS/pRD0GIvWjw4HlwDBwbbmlSJImsBE4GIhb9u0GfBW4MElr9wPXAPuO9+LiBvIfJ7+natscMlM/anaHrsvqlfWlViJJg2dRHIVLWraHk7Q2PPagJK2NAGviKFzesm8dcA5AHIVzgXcz8T1PvwB8FngM+K12i7ZDpH7kcJkklecO4MmWr3On+T6XAHuO9/o4Ct9G3l26YJrvvR0DkfpKUG0sAV5VbBqIJGn2HQ4sbfk6f6pvEEfhJ4CTgNcmaW28hXU/DjwHWAN8Anh2HIWNaVeMQ2bqPycA84C7snrl7rKLkaQBtG6CEDMpcRSeA5wBvBZYG0fhsuI9R+IoHErS2ihwItsyzNuL418/3vtNloFI/cbhMknqbc2O0s0t+46Po3Bv4KPAiiStrWo+EUfhY8BI677pMBCpb3i5vST1niStrQSClu1g4qNJx3n954HPt1uHc4jUTyrAAcAG4IaSa5Ek9RADkfpJszt0TVavbCq1EklSTzEQqZ84XCZJmhYDkfpCUG3sDryi2LyizFokSb3HQKR+cTL5z/PtWb2ysuRaJEk9xkCkfuFwmSRp2gxE6nlBtTEHeF2xaSCSJE2ZgUj94Chgb+Ap4MaSa5Ek9SADkfpBc7jsO1m9srnUSiRJPclApH7g/CFJUlsMROppQbWxN/CSYtPL7SVJ02IgUq97Lfk9cH6S1SsPlF2MJKk3GYjU6xwukyS1zUCknhVUG0PAbxabBiJJ0rQZiNTLXgbsDjwO/KDkWiRJPcxApF7WHC77VlavjJRaiSSppxmI1MucPyRJ6ggDkXpSUG0cABwJZMC3Si5HktTjDETqVc3J1D/M6pU1pVYiSep5BiL1KofLJEkdYyBSzwmqjXnAycWmgUiS1DYDkXrRK4HFwMPALSXXIknqAwYi9aLmcNkVWb2ytdRKJEl9wUCkXuT8IUlSRxmI1FOCauNg4AhgK/DtksuRJPUJA5F6zeuKx+9n9crjpVYiSeobBiL1GofLJEkdZyBSzwiqjV2AE4pNA5EkqWMMROolrwZ2Ax4AGiXXIknqIwYi9ZKnh8uyeiUrtRJJUl8xEKmXPL3+UKlVSJL6joFIPSGoNg4DDgNGgKtKLkeS1GcMROoVzcvtv5vVK2tLrUSS1HcMROoVXm4vSZoxBiJ1vaDaWAgcV2waiCRJHWcgUi84HlgA3Av8rORaJEl9yECkXuDl9pKkGWUgUlcLqo0A5w9JkmaYgUjd7vnAwcAwcG3JtUiS+pSBSN2u2R26LqtX1pdaiSSpbxmI1O2a6w85XCZJmjEGInWtoNpYAryq2DQQSZJmjIFI3ewEYB5wV1av3F12MZKk/mUgUjfz6jJJ0qwwEKkrebm9JGk2GYjUrSrAAcAG4IaSa5Ek9bm5ZRcwqIILH5vSisvZ2XsEM1VLl2p2h67O6pVNpVYiSep7dojUrRwukyTNGgORuk5QbRwBvKLYvKLMWiRJg8FApK4SVBvvAn7Ktp/NE0ssR5I0IAxE6hpBtXEQ8EWgdb7UJcV+SZJmjIFI3eQwtv+ZHAIOLaEWSdIAMRCpm9wFbB2zbxRwlWpJ0owyEKlrZPXKKiBp2TUKvKfYL0nSjDEQqdssLB7/AVie1StfKrMYSdJgMBCpawTVxlzg+GLzH+wMSZJmi4FI3eQoYCnwBPCjckuRJA0SA5G6SXPNoWuyemW01EokSQPFQKRu0gxEV5VahSRp4BiI1BWCamMh227XYSCSJM0qA5G6xTHAfOA+XHdIkjTLDETqFk8Pl2X1SlZqJZKkgWMgUrc4oXi8utQqJEkDyUCk0gXVxl7AkcWmgUiSNOvmll2AJumcQ6Y2jHTBPcHOD+oarykef5rVKw+VWokkaSDZIVI38HJ7SVKpDETqBgYiSVKpDEQqVVBtHAL8GjAC3FByOZKkAeUcIpWt2R26KatX1pVaiSRpVsVRuA/wVuA04NQkrd0WR+HRwBeAI4CfA2cmae3GMa+bA3wCeCcQAP8GvD9Ja9O+7ZMdIpXN4TJJGkBxFC4G7gVOAVYU++YAlwE3AYcCtwJfHufl7yIPQ68Ffos8UJ3STj0GIpUmqDbmsG39IQORJA2WjcDBQNyybzfgq8CFSVq7H7gG2Hec1z4MfChJa/+dpLWbgDUTHDdpDpmpTCuAPYB1wA/LLUWS1CGL4ihc0rI9nKS14bEHJWltBFgTR+Hyln3rgHMA4iicC7wbuHSc19aa38dR+DryMPT1doq2Q6QyNbtD12X1ypZSK5EkdcodwJMtX+dO830uAfbc0evjKKwACfDHSVq7b5qfA9ghUrmcPyRJ/edw4MGW7e26QzsTR+EngJOAY5K0tnaCY54DfAv4+yStfXE6hbYyEKkUQbWxC/CqYtNAJEn9Y91EIWYy4ig8BziDfML02jgKlxXvORJH4VCS1kbjKNwf+A5wBfB3xTEjxZDbtDhkprK8HNgVWA3cXnItkqTucT6wFLgZeLz4OiaOwgi4pTjmDPI17N7Zcky9nQ+1Q6RZEVz42DPvxfasxfCrp2Cf3fbjeXtsDS587BlPZ2fv0Uv3YpMkTVOS1laSryXU3N7Rv/9pccx5wHmdrMMOkcrxxKb8cdmCcuuQJAkDkcqwZSs8VVxUZiCSJHUBA5Fm35PFBQe7zoUFjtpKksrXkd9GcRR+BPggsBC4knyS057AV4CjgTuBP0jSWiOOwmOAr5EvxveGJK3d2Yka1EMcLpMkdZm2A1EchScBfw28nnzdgauAPyZfhXg9+c3ZzgO+BLwE+AhwNvly3WfGUXg28DngjCStZWPfX33oiaJDtGyXcuuQJKnQiSGzzcDZSVq7Kklr/0PeDdoXOBa4tFg58kvA0XEU7lZ85irgAWAIuAC40TA0IIZHYONI/r0dIklSl2i7Q5SkteuB6wHiKHwR8BvkHaCzyIfFAJ4oHvcCLgIuJw9SnwJemqS1D4x93zgKFwALgEXt1qgu0uwOLZ4Pc53CJknqDh37jRRH4UHAN4BPJ2ntBxMcliVp7Ury+UUvAN4MXBlH4co4CutFCGo6l/weKHd0qkZ1gcebw2V2hyRJ3aNTk6r3Il9C+xrgY8XuR4BlxffNu94+DFAsu31xceyFwPuAPySfh3R5cez5wN8C+2Mo6g9ZNvkJ1eccMvUh1AvucTFHSdK0tN0hiqNwEfBN4D7gQ8DSOAqXkA+jvT2OwmeTX3V2c5LWNhWvORZ4qOgWDZEPqW0ovgcgSWvDxb1Qpn1fEnWZDSP5GkRzAlhih0iS1D06MWT2u+RXj51M3hV6HGiQh6O55PepOhI4vfmCYt7RWcXmBeQ3ZzuI/JJ99atmd2jp/DwUSZLUJToxqfor5OsNjec1O3hdVjxeClzabh3qAV5uL0nqUl7mo9mxNWsJRA6XSZK6i4FIs+OpzXkomjsHFs4ruxpJkp7BQKTZ0dodCpw/JEnqLgYizQ7vXyZJ6mLealwzLqg2FtNsCu3uhGpJUvexQ6TZ8GoyYJch2MUMLknqPgYizYYTAS+3lyR1LQORZkMRiJw/JEnqTgYizaig2tgPeCFgIJIkdS0DkWbaCQAsmgfzhnZyqCRJ5TAQaaY5XCZJ6noGIs2YoNoIcEK1JKkHGIg0kw4DDgI2s2R+2bVIkjQhA5Fm0onF440M+aMmSepe/pbSTGoGoqtKrUKSpJ0wEGlGBNXGEPCaYtNAJEnqagYizZSjgKXAk8AtJdciSdIOGYg0U5rDZddk9cpoqZVIkrQTBiLNFOcPSZJ6hoFIHRdUG7sBryw2ry6zFkmSJsNApJlwDDAfWAX8vORaJEnaKQORZsIJxeNVWb2SlVqJJEmTYCDSTHD+kCSppxiI1FFBtbEXcGSx6fwhSVJPMBCp044HAuC2rF5ZXXYxkiRNhoFIneZwmSSp5xiI1GkGIklSzzEQqWPu2bwvwCHACHBDudVIkjR5BiJ1zNXrKs1vb87qlafKrEWSpKkwEKljrlr3oua3Xl0mSeopBiJ1xNYs4Or1T3eInD8kSeopBiJ1RGPTch4dXQKwDvhByeVIkjQlBiJ1xFXbukPXZ/XKljJrkSRpqgxE6oiW+UMOl0mSeo6BSG0b3jqXG9Yf0dw0EEmSeo6BSG27acPhbMwWsO/cxwH+p+x6JEmaKgOR2tacP3TiwlvJ6pWs5HIkSZoyA5Ha1pw/dOKiRsmVSJI0PQYiteWJ0YX8cOOhAJyw0EAkSepNBiK15br1L2QrQzx3/v08a/4jZZcjSdK0GIjUlub9y05cdGvJlUiSNH0GIrXl6QnVBiJJUg8zEGnaVm3ZkzuGn8UcRjlu4W1llyNJ0rQZiDRtzeGyo3f9BbsPrS+5GkmSps9ApGnbdrm9w2WSpN5mINK0ZNkzF2SUJKmXGYg0LbcPP4vVI3uwazDMy3e7s+xyJElqi4FI09IcLnvVwtvZZc6WkquRJKk9BiJNy1Xr80Dk6tSSpH5gINKUbcmGuG79CwEnVEuS+oOBSFP2w42Hsm7rruwxtJYVu/yy7HIkSWqbgUhT1pw/dMLCnzInyEquRpKk9hmINGWuPyRJ6jcGIk3JutFduGnD8wADkSSpfxiINCU3bDiCEebya/NWc8j8h8ouR5KkjjAQaUquWte8u72X20uS+sfcsgtQb3H+kCSpU+Io3Ad4K3AacGqS1m6Lo/Bo4AvAEcDPgTOTtHbjOK/9E+DDwDzgn4Gzk7Q27St97BBp0lZvWcZPh5cDcPzCn5ZbjCSpp8VRuBi4FzgFWFHsmwNcBtwEHArcCnx5nNceAXwKeCfwBuD9wOvbqcdApEm7priZ64pd7mHvuWtLrkaS1OM2AgcDccu+3YCvAhcmae1+4Bpg33Fe+2rgriStfTtJaz8Avl/smzaHzDRp2+YPOVwmSZrQojgKl7RsDydpbXjsQUlaGwHWxFG4vGXfOuAcgDgK5wLvBi4d5zP2Bta1bD9R7Js2O0SalCzbdv+yExcaiCRJE7oDeLLl69xpvs8lwJ5TeH1bKwXbIdKk3L15f361ZW/mB1s4ZuHPyi5HktS9DgcebNnerju0M3EUfgI4CTgmSWvjzdF4BFjWsr0EuGuqn9PKQKRJaV5d9ord7mDhnCn/bEuSBse6CULMpMRReA5wBvBaYG0chcuK9xyJo3AoSWujwA3A5+MorAKrgVcAn26naIfMNCkOl0lSdwqqjYOCauP4oNo4qOxaOuR8YClwM/B48XVMHIURcAtAktZuAz4IfBG4Avh8kta+1c6H2iHSTo1mc7hm3a8DTqiWpG4SVBvvIg8Fc4CtQbVxRlavfKnksqYkSWsrgaBlO5j4aNKW4z4DfKZTddgh0k79aOMhPLF1EUvnrOeoXX9RdjmSJPLOENvCEMXjJX3UKZpVBiLtVHO47LiFtzE32FpyNZKkwmFs/3t8iHxBQ02RgUg75e06JKkr3QWM/St1FLi7hFp6noFIO7Rx63xu3HA4YCCSpG6S1SuryK/GGi12jQLvKfZrigxE2qEbNxzOcDafA+c+wvPm3192OZKkFsUE6uXA8cDyXptQ3U28ykw7tG24rEGwo3n/kqRSFB0hu0JtskOkHXL+kCRpEBiINLF1m7ll0yEAnLCwUXIxkiTNHAORxrd6Pfx4DfmPSMY3nzqq7IokSZoxBiJtb3gE7nq8ZUfAex54H6u27FlaSZIkzSQDkba3cWS7XaMMcffw/iUUI0nSzDMQaXu7bn/x4RCjHLrgwRKKkSRp5hmItL25c2Bo2zX2Q4xyyQEXc9C8R0ssSpKkmeM6RNreg+thNIMFc7hq/4/yvAUPGIYkSX3NQKRnGt0Kq57Kv3/2Uk5Y8NNy65EkaRY4ZKZnWr0etmyFXYZgn93KrkaSpFlhINI2oxn8qugOPWsJzPFeHZKkwWAg0jar1+XdoQV2hyRJg8VApNzWbNvcoWcttjskSRooBiLlVq+HzUV3aN+FZVcjSdKsMhAp7w415w4dZHdIkjR4DEQqukOjMH8I9rM7JEkaPAaiQefcIUmSDEQD76H1MDwK8+fYHZIkDSwD0SBz7pAkSYCBaLCt2ZB3h+bNgf0WlV2NJEmlMRANqq0Z3Lc2//5Zi59xd3tJkgaNgWhQPaM75NwhSdJgMxANoq0Z/KroDh20GIb8MZAkDTZ/Ew6ihzfApqI7tL/dIUmSDESDJsvgvuLKsgPtDkmSBAaiwbNmA2wagblz4AC7Q5IkAcztxJvEUbgP8FbgNODUJK3dFkfhs4GvAEcDdwJ/kKS1RhyFxwBfA9YBb0jS2p2dqEE7F1QbQ+xa/F9+0CK7Q5IkFdr+jRhH4WLgXuAUYEXLU58C1gNHAD8FvlTs/whwNvB/gTPjKNwljsJ/iKPQ675n3ilsLLpD+7vukCRJTZ1oEWwEDgbiMfuPBS5N0tp95GHo6DgKdys+cxXwADAEXADcmKS1rAO1aAJBtTEEfByAAxfloUiSJAEdGDJL0toIsCaOwuVjntqbfFgM4InicS/gIuByYDN5F+mlSVr7wNj3jaNwAbAAsJXRGRFwOHMDOMBTKklSq9luE2RJWrsS2BN4AfBm4Mo4ClfGUVgvQlDTucCTwB2zXGPfCaqNOTS7QwcstjskSdIYM/mb8RFgWfH9kuLxYYAkrY0CFwMfA84C3lc8//qW158PLAUOn8EaB8XvkgfQJznQ7pAkSWPNZCC6Hnh7cbXZO4Gbk7S2CSCOwmOBh4pu0RD5kNqG4nsAkrQ2nKS1tWwbdtM0FN2hPy02P2N3SJKk7c3kb8cPkc9Ruh04Eji9+USS1q4n7wxBPqn6CuAg4MoZrGdQ/TbwQmAt8Pcl1yJJUlfqyDpEAElaWwkELdv3Aa/ZwfFZ8XgpcGmn6tA2Y7pDn83qlceDCx8rsyRJkrqS4yf97Y1ABXgK+LuSa5EkqWsZiPpUUG0EbOsOfS6rV2wNSZI0AQNR/3oD+dyt9dgdkiRphwxEfSjL1/z+s2Lz81m98kh51UiS1P0MRH3om+uOAngx+VIGny63GkmSup+BqM9kGZy35pTm5kVZvfJwmfVIktQLDER95sp1L+aHG58L+U137Q5JkjQJBqI+MqY7dHFWrzxUZj2SJPUKA1Ef+c66Ffxg4/PYJRgG+GTZ9UiS1CsMRH0iy+C8h/Pu0Hv3+BZZvbK65JIkSeoZBqI+cfX6Ct/f8HwWBJv5yF6Xl12OJEk9xUDUB/K5Q28B4Izdv80B8x4vuSJJknqLgagPXLf+hXxvwwuYH2zh7L0vK7scSZJ6joGoDzS7Q6fv/m0OnOctyyRJmioDUY+7fv0RXL/hhcwLtnC2c4ckSZoWA1GP+4ti3aF37X4Vz5rvLcskSZoOA1EP+97653PN+grzgi2cu9fXyy5HkqSeZSDqYc1Vqd+57BqebXdIkqRpm1t2AZqe7294HletX8FcRjh3b7tDHXXOIdmUjr/gnmCGKpEkzRI7RD2qOXfotN2vZfn8NSVXI0lSbzMQ9aAfbDiMb617MUOM8r/3/veyy5EkqecZiHpQc92hU5ddxyHzvaG9JEntMhD1mP/acBhXrDuKIUb56N5p2eVIktQXDEQ95i8ffjMAb1t2PYcu8Ib2kiR1goGoh9yy8TnUn3oJcxjlo84dkiSpYwxEPeQv1uTdoXjpd3nuggdKrkaSpP5hIOoRP974a/znUy8jYCsf28e5Q5IkdZILM/aC4RH+6MF3A/CWpd/j8AX3l1xQbwkufGxKCy1ObVVGSdJ0xVG4D/BW4DTg1CSt3RZH4VzgN4F3AHcmae2jE7z248D7gV2Ay4EzkrS2ebq1GIi63er1cNfjfI8jgIznL/hV2RVJktS2OAoXA/cCPwFWtDz1L8CRwBJg5QSvXQH8BVAt3uO7wPeAf5xuPQ6ZdbPhEbjr8ZYdAeeteQurtuxZWkmSJHXIRuBgIB6z/wNJWnsucMcOXtts5t8L/AoYBkbaKcYOUTfbuP3/t6MMcffw/hw079ESCpIkaacWxVG4pGV7OElrw2MPStLaCLAmjsLlY/Y/uLMPSNLarXEUfh64FdgK3AB8pZ2i7RB1swXb59UhRjl0wU5/ViRJKssdwJMtX+d2+gPiKHwx8G4gAk4AXgS8pZ33tEPUzR7Z8IzNIUa55ICL7Q5JkrrZ4UDrX+7bdYc64ETgniStXQYQR+HVwOuAZLpvaCDqVptG4L6n8u9/bSnXZmdx6IIHDUOSpG63Lklra2fijeMoHErS2ihwO/CcOAqPA9YArwAuaue9HTLrRlkGv3gCtmawdAEcuIjjFt1mGJIkDaw4CiPgFoAkrdWBTwL/BnwfuBr4TDvvb4eoGz26CR7bBAFw6DIIgrIrkiRpRiRpbSX5b7yx+48bs50Cacv2x4GPd6oOO0TdZmRr3h0COGgx7Dav1HIkSRoEBqJuc99a2DwKuwzBs5bs/HhJktQ2A1E3WbcZ7l+Xf/+cZTDkUJkkSbPBQNQtsgzufiL/fq9dYY9dSy1HkqRBYiDqFqvXw1Ob867QIcvKrkaSpIFiIOoGm0dh5ZP59wcvgQVD5dYjSdKAMRB1g18+CSMZLJwHBywquxpJkgaOgahsT2yCNcUtOlxzSJKkUhiIyrS1ZSL1/gthyYJSy5EkaVC5UvVUnXNINqXjL7hn4pbPqqdg4wjMmwPLl7ZbmSRJmiY7RGXZOAK/Ku59d8gymOv/FZIklcUOUQmCaiNg911gK/nNW/d2zSFJkspkW6Icv8Pj3rxVkqRuYSCaZUG1sRj4e8Cbt0qS1CUMRLPvPOBAb94qSVL3MBDNoqDaOBL4YwAO3d2bt0qS1CUMRLMkqDbmABeTn/OvsfsuJVckSZKaDESz53TgZcBTwJ+UXIskSWphIJoFQbWxL3BBsfmxrF55oMx6JEnSMxmIZsengGXAj4D/U24pkiRpLAPRDAuqjeOB3wcy4L1ZvTJSckmSJGkMA9EMGt46F/KJ1AAXZ/XKD0ssR5IkTcBANIM++chvAzwPeAj4aLnVSJKkiRiIZsgvhvfjrx/+vebmn2T1yhMlliNJknbAQDQDsgze/+DpbMoWAFwN/GvJJUmSpB0wEM2Af1/7Cq5cdxTzgy0AZ2b1SlZ2TZIkaWJzyy6gbMGFj00prOzs4LWju/KBB98FwLl7fZ0///Lf/Hy6tUmSpNlhh6jD/nTNW3lgZE8Onf8A5+z99bLLkSRJk2Ag6qAfbTyEzz36egAu2v+L7DJnS8kVSZKkyTAQdchoNof3PvBetjLEW5bewMmLf1J2SZIkaZIMRB3yxcdO5ocbn8uSOev52/2+XHY5kiRpCgxEHbB6yzLOfehUAP56339h/3mPl1yRJEmaCgNRB3x49Tt4cutCjtrlbt63x5VllyNJkqbIQNSmq9dV+JcnjyNgK1848GKGgq1llyRJkqbIQNSG4a1zOfOB9wDwh3tcwdG7/qLkiiRJ0nQYiNrwiUd+h59vPpD95j7GX+37L2WXI0mSpslANE13t9y89e/2+yeWDm0ouSJJkjRdBqJpyDL4wwffw3A2n5MW/oRTln6v7JIkSVIbDETTkK59Jd9edyQLgs1cdMAlBEHZFUmSpHYYiKboydHdtt28de+vc9iCB0uuSJIktctANBXDI7xz1Vk8OLIHh82/n7P3uqzsiiRJUgfMLbuAnrF6Pdz1OJfzcgDesPiH3rxVkqQ+YYdoMoZH4K5n3o7j7x99A6u27FlSQZIkqZMMRJOxcWS7XaMMcffw/iUUI0mSOs1ANBm7bj+yOMQohzqhWpKkvmAgmowFc+Gw3Z/eHGKUSw64mIPmPVpiUZIkqVOcVD1Z+y2E3Rdw7Zp3c+iCBw1DkiT1EQPRVCyYy3GLbiu7CkmS1GEOmUmSpIFnIJIkSQPPQCRJkgaegUiSJA08J1VLMyS48LFsKsdnZ+8RzFQtkqQds0MkSZIGnoFIkiQNPAORJEkaeAYiSZI08JxULXWLcw6Z0iRsLrjHSdiS1CF2iCRJ0sCzQyQNOjtTkmSHSJIkaUY7RHEUngKcD+wOXA68D/jL4vEbwNuStDa1v04lSZI6bMY6RHEU7gl8mTwAvRL4TeDDQAy8DHgusCKOwlfHUXjGTNUhSZK0MzPZIXopEAD/nKS1LI7CbwLHARuBlcBaYA/yDlJ1BuuQBsqUbxlS1ud6qxJJXWQmA9HewPqWIbEngEOA64EngWuAdwN/laS1NWNfHEfhAmABsKjYtW8chR0vcpfKp6Z0/KMjUztl74/CA/3cmf/cMj/bz53e58bRH4z7PpJ61r5lF9COIMtmZgpPHIVvB/42SWt7FdufAo5M0toJcRTOA34XOAEYAk4C/iZJaxe3vP7PgT+bkeIkSdJMOSpJaz8qu4ipmskO0SPA4jgK5yRpbSuwBGh2gvYDPgR8EPhb8nlFKXBxy+vPL54DeD6wqkN1LQLuAA4H1nXoPfuR52lyPE+T43maHM/T5HieJm+2z9W+wI9n4XM6biYD0X8Bo8B74ii8Fngd8FfFc38KnAWMAJuBR8nnGz0tSWvDwHCx+YNOFRVH4ZLi2weTtLa2U+/bbzxPk+N5mhzP0+R4nibH8zR5JZyr+2fhM2bEjF1llqS1R4B3Av8LuAn4NvDPxdNnJGntZuBHwEPk4emzM1XLGMPAeWwLWxqf52lyPE+T43maHM/T5HieJs9zNUkzNodIkiSpV7hStSRJGnh9dy+z8VbHLuYjNZ/fHfgn8ivc7gfOTNLatcVVbdUkrR09+1XPvjgK9wHeCpwGnJqktdvGPO95AuIo/Aj55P+FwJXAO5O0tr7l+YE/T3EUzgX+GmgusFoHTk/S2qaWYwb+PLWKozAFfi9Ja8GY/Z4nII7CbwEnt+z6dJLWPtzyvOcJiKNwCDiXfHrKz5K0Vh3zvOdpCvqqQzTB6tjvHnPYucCzgBcBXwcujaNw/mzWWbY4ChcD9wKnACsmOMzzFIUnkf+iPxV4OfAq4I/HHDbw5wl4G3A6+QKrLwdOZFs4avI8FeIofCPw2xM87XnK7Q/8IfkftrsDHxvzvOcp9xny8/Rh4O3jPO95moK+CkQ8c3Xs24FvAq8ec8yxwL8nae2XwBeAA4DntB4QR+E/xFF4bxyF+89CzWXYCBxMvtzBRDxP+RWQZydp7aokrf0PcCfbLzw28OcpSWtfSdLaHklauxFYTX7etow5bODPEzx9xc9FwOcmOMTzlNsf+GWS1p4ovjaNeX7gz1MchfsC7wXem6S1y5O09tg4hw38eZqKfhsym2h17LHHrGt5vrkPgDgKzwEi4JVJWntwxiotUZLWRoA1cRQu38Fhnqe0dj35yurEUfgi4DeAs8ccNvDnqSmOwgbwAuA68n98W3mechcC3wGuBj4wzvMDf56KDsaewCfjKPxH8quU35OktUdbDhv480TeABgC3hxH4eeB28iHqlvX7PM8TUG/dYjGM5nL6JrHPBf4G+DjRUdAzzSQ5ymOwoOAb5DPY5jMmlgDeZ6A1wOvJW/Pv2MSxw/UeYqj8BggJB/emIqBOk/k/3vfD/wJ8DtABfjzSb4OBuc87U7+v/lG4I3k3etPTuJ1g3aeJq3fAtHTq2MX262rY7ces6zleVqO2Q24AfhgMc9mkHmegDgK9yL/i/4atp/HAJ4n4iisxFF4UpLWViVp7WrgWvIbObca+PNE/vOzJ3AP8K8AcRQ+MeYYz1Pe9fiPJK19p/gDpEYeilp5nvL/vRuTtPZ/krT2Y/KfKc9TG/otELWujn04+erY1xUz8ZuuJ28xHkI+8XMV8IviuZ+Q/5W7hXyy2kDxPD1THIWLyOeh3Ud+q5mlcRQu8Txt50XAZXEU/kYchUeQT6z+sedpO+8g/6t8BfBHxb4VnqftHAqsiqPwlOI8vBZoeJ62cxMwHEfh+4vpDyHwI8/T9PVVINrB6tiXx1H4weKwvyH/gfgJ8Gbg94s5Nc332EB+KfppcRS+adaK7w6ep2f6XeAl5Jf/PgI8DjTwPI11KXAJ+bDiDcXjRXieniFJa6uTtLYySWsrKf5KL773PLUolgD5I+DT5OfhbvLbPXmeWiRp7Unyf6PeC/yU/BZYH8LzNG2uVC1JkgZeX3WIJEmSpsNAJEmSBp6BSJIkDTwDkSRJGngGIkmSNPAMRJIkaeAZiCRJ0sAzEEmSpIFnIJIkSQPPQCRJkgaegUiSJA08A5EkSRp4BiJJkjTwDESSJGngGYgkSdLAMxBJkqSB9/8BB8JlzjGzObkAAAAASUVORK5CYII=);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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V1Dn0dOHsDO4z4On1LXyBN4rOAlwMHZnmxdIyHrAG+lOXFT7K8uBr4AVCbeMkeMpOkyfJWwjkONxPa+Rqh1ajdEtWbXwdiwtDXt238Geojy8YJMZslTeJTgSOBA4GlaRLPLl9zTZrE07O8WAu8CCjSJH4p8GfghcBHOinaDpEkdVlUb05n3cyu87y0fFwOfdVYTid0lq4HHii/9k+TOAF+DpDlxTcJn5+vEubkXQVc0MkPtUMkSd0XA3sC97PuXBmN0mrUrovqzR8D+xMC5CkVl6QKZHlxO2HocXs7Gv/R5CMe9z7gfd2qww6RJHVfeyHGi1qN2sOVVtL72l0ih76qUgYiSeqiqN58LuF8htXAxysupx98E/gNYejrkRXXoiHWlUNmaRJPJ1wWdzjwmywv6mkS7w58DtgPuAV4a5YXzTSJ9we+AiwDXpPlxS3dqEGSekS7O/SlVqP2x0or6QOtRu3RqN48G/g0Yejrx1qN2gZr1kiTrVsdovMI1/+/h7AeAMA5wHLCLJIbgMvK/ScTjhNfDhyTJvE2aRJ/Mk3ijR0zlKSeF9WbTwCSctNL7Tdfe+jr4whzraQp13EgSpN4Z+AdwDuyvLgiy4v7y7sOABZkeXEnIQztlybxtuXPvIvw4Z8OnAFcm+VFq9NaJKlixxF+r/2w1aj9supi+kXZETqv3Dw5qjc9nUNTrhuHzJ5L+AXwpjSJLwRuJCxGNp9wWAxgSXk7j3BM/QrCoMNzgOdmeXHi6BdNk3gmMBOY1YUaJWlSRfXmLOCoctPu0Ja7FHg/8DTC0Ncrqy1Hw6YbKXwOYbXRa4HXEoawnT3OY1tZXiwkLMX9dOBNwMI0iW9Pk7hRhqC20whLft/chRolabK9hbB2yu+ARrWl9J9Wo/YgDn1VhboRiBYBK7K8+ESWF78EvkRYPvs+YHb5mPaQt8UA5SqTFxH+GjgeOLq8/9UjXre9MNPeXahRkiaNCzF2zccIRw9eGNWbL6y6GA2XbgSi64CVaRIfV06sjYFfANcAh5ZXmx0OXN+eQpsm8QHAvWW3aDrhkNrD5fcAZHmxslz6exmS1NvqwF6E32Wfq7aU/uXQV1Wp40CU5cWDwBsJJ1bfQJgpclL5NQO4CXgW64YckuXFNYTOEISTqq8CdsN5P5L6U/tS+0tajZp/xHXmnPL2dVG96RECTZmurEOU5cUPgb8e466XbOQ5rfJ2AbCgG3VI0lSL6s2/IVxVuwa4sOJy+l6rUbu5HPr6OsJSLkdUXJKGhJc2SlJn2t2hr7QatbsqrWRwOPRVU85AJEkTVP5n/U/lppfad0mrUfsJ4crlrYF3VlyOhoSBSJIm7ljCqQc/bjVqP6u6mAHT7hIdHdWb22/0kVIXGIgkaQKienNbwsUkAB+pspYB1WDd0NejNvFYqWMGIkmamEOBHYHbcFXlrivXcmov8ntiVG/O3NjjpU4ZiCRpC5Wztk4sNz/WatTWVljOIHPoq6aMgUiSttyrgKcCS4FPV1zLwHLoq6aSHy5J2nLtS+0/2WrUHqq0ksF3KSF4Pg34h4pr0QAzEEnSFojqzRrwUuBR4IKKyxl45dDXi8tNh75q0hiIJGnLtLtDX201andUWsnwOB9YDewf1ZsvqLoYDSYDkSRtpqje3IV1J/e6EOMUceirpoKBSJI239GE1ZOvbzVq11ddzJBx6KsmlYFIkjZDVG8+Bjim3HQhxinWatR+Q1jvKQJOqrgcDSADkSRtnjcD84A7gCsqrmVYtcd5HBrVm7tWWokGjoFIkjYhqjcj1p1MfUGrUVtTZT3DqtWoXcu6oa8nVFyOBoyBSJI27RXA04FlwKcqrmXYOfRVk8JAJEmb1u4OXVaui6PqNICbCUNfj6y4Fg0QA5EkbURUb+4DHAi0gI9VXM7QGzX09V1Rvbl1lfVocBiIJGnjTixvr2g1ardVWYj+4gvAH3Hoq7rIQCRJ44jqzfnAIeWmCzH2CIe+ajL4IZKk8b0DmAn8jHB1k3rHJcBDhJPdX11xLRoABiJJGkNUb84Eji03P9Jq1FpV1qP1OfRV3WYgkqSxpcDOwF3AVyuuRWNrD339u6jefH7Vxai/GYgkaZRRCzFe2GrUVldZj8bWatTuZt3QV7tE6oiBSJI29BKgBjwMXFpxLdo4h76qKwxEkrShdnfoM61G7YFKK9FGOfRV3WIgkqQRonrzqcA/EBZiPL/icrR5HPqqjhmIJGl9J5a332g1ardWWYg2Tzn09SeEoa/vrLgc9SkDkSSVonpzLnBYuelCjP3Foa/qiIFIktY5EngM8L/ANdWWoi30DeAWYAfg7RXXoj5kIJIkoBwSeny56UKMfcahr+qUgUiSgjcBuxKGhn654lo0MQuAPwGPx6Gv2kIGIklDb9RCjB9vNWqrqqxHE+PQV3XCD4skwd8DfwOsIAwNVf+6GIe+agIMRJK0rjt0eatRu6/SStQRh75qogxEkoZaVG/uBby23DyvwlLUPQ591RYzEEkadicQxj58q9Wo3Vx1MepcOfR1Qbl5cpW1qH8YiCQNrajenAMcXm66EONgaQ99jctxLNJGGYgkDbO3A48FbgC+X3Et6qJWo3YTYbFGh75qsxiIJA2lqN7cinULMX7UhRgHUnucx2FRvblLpZWo5xmIJA2rNwK7AYuArOJaNDmuBa4jDH09oeJa1OMMRJKGTrkQ47vLzU+0GrVHqqxHk6Ps+jn0VZvFQCRpGL0AeA6wErio4lo0ua7Eoa/aDAYiScOovRDjglajtqjSSjSpHPqqzWUgkjRUonrzicDry83zKixFU2fk0Ne04lrUowxEkobNOwm/+77TatRurLoYTT6HvmpzzKi6AEmaKlG9uQPwtnLThRiHyyXA+4B9gFcB36y2HAGkSbwTcDBwGHBIlhc3pkm8H2Ee3T7Ab4Fjsry4dpznTyNcTbhrlhd7dlKLKVnSMHkbsB3wG+DbFdeiKdRq1JYQQhE49LUnpEm8HXAHcBCwb7lvGvA1wnIJewG/Aj6zkZc5nnCBRMcMRJKGQlRvziAcLgMXYhxW7aGvfx/Vm8+ruhixAtiD9c/r2hb4InBmlhd3A1cDO4/15DSJdwf+P9YF3Y54yEzSsIgJv3zvY93gTw2RVqN2V1RvfgF4C6FL9IZqKxpYs9IkHrnm08osL1aOflCWF2uARWkS7zli3zLgVIA0iWcARzD+v9eLgY8B9wP/0GnRdogkDYv2QowXtxq1FZVWoio59HXy3Qw8OOLrtAm+ziXA3LGenybxmwl/4JwxwdfegIFI0sCL6s2/BZ4PrAI+XnE5qlCrUfs10MChr5Npb8JCmO2v07f0BdIkPgt4OXBglhdLx3jI/wc8mTB65yxg9zSJmxOuGA+ZSRoO7YUYs1aj9qdKK1EvOBOoE4a+/qufia5bNk6I2SxpEp8KHAkcCCxNk3h2+Zpr0iSenuXFWuBlrMswh5aPf3UnRXclEKVJ/G3gFSN2nUs4rvc5YD/CsulvzfKimSbx/sBXgGXAa7K8uKUbNUjSWKJ6c3fgH8tNL7UXrBv6+nzCifb/Um05GqXdUbp+xL4Xp0k8n7B0wr5ZXtzVviNN4vuBNSP3TUS3OkS7AscSzgwHeAS4HFhOWEfgA8BlhEvjTgZOIRz7OyZN4lOAC4Ajs7zwqg9J3XY8MB24utWo/arqYlS9VqPWiurNs4ArgGOievP0VqP2UNV1DassL24nHMJsb0fjP5p8jOdfCFzYaR3dOodoV+D/srxYUn49AhwALMjy4k5CGNovTeJty595F3AP4ZfUGcC1hiFJ3RbVm9uxbqCn3SGNdCVh0T+HvgroQocoTeKtCWeBn50m8acIbcijgPmEw2IAS8rbeYQTGq8gnNx4DvDcLC9OHON1ZwIzgVmd1ihpaB1O+A/vt8C3Kq5FPaTVqD0a1ZtnA58kDH29sNWoraq6LlWnGx2iFnAc4aTFNwA14N/He2yWFwsJAerpwJuAhWkS354mcaMMQW2nES7Xu7kLNUoaMlG9OR04odw8r5x6Lo3UHvq6G/BPFdeiinUjEE0Hvp7lxXezvPgpUBBC0X3A7PIx7QWaFgOUZ4hfBLyfcHz/6PL+kWeIn074y27vLtQoafi8BngS8ADhnEZpPa1G7RHC6tUA743qzY2du6IB141AtBdwV5rEB6VJ/CTCZXJN4Brg0HJp7cOB68tzi0iT+ADg3rJbNJ1wSO3h8nsAsrxYWV62twxJ2nLthRgvaTVqyyutRL3sYsL/M/vQ4WXb6m8dB6IsL24kXLZ4LvC/wO+AfyUseDUDuAl4FiNOWsvy4hpCZwjCSdVXEVqWCzutR5KievPZwN8Ba+jC1ScaXA59VVtXLrvP8uICwqXzIz0AvGQjz2mVtwtwrpCk7movxPjlVqN2d6WVqB+cR/jD/u+jevN5rUbt+k08XgPI0R2SBkpUbz4eOKjc9FJ7bVKrUbsL+EK5eXKVtag6BiJJg+Y4Qvf7R61G7edVF6O+0R76+vqo3vyrSitRJQxEkgZGVG8+lrAOGtgd0hZw6KsMRJIGyWHAHOA24BsV16L+c1Z5e1hUb+5SaSWacgYiSQMhqjenASeWm+e1GrW1FZaj/vRjwkDRmay7ElpDwkAkaVC8GngKYYX7z1Rci/pQq1Frsa5LdEw5C09DwkAkaVC0F2L8ZKtRc0FXTVR76OtsHPo6VAxEkvpeVG/uC7wYWMuGa6JJm6081Nq+4uxdUb25dZX1aOoYiCQNghPL26+2GrU7qyxEA+HzwL049HWoGIgk9bWo3twVOLjc/EiVtWgwlENfzys3Hfo6JAxEkvrdMcBWwE9ajdr/VF2MBsbIoa+vqrgWTQEDkaS+FdWbjwGOLjddiFFd49DX4WMgktTPDgHmArcDRaWVaBCdB6wBDojqzb+tuBZNMgORpL5UntdxYrn5sVajtqbCcjSAHPo6XAxEkvrVgcDTgIeAyyquRYOrfQn+G6J68ymVVqJJZSCS1K/aCzF+qtWoLa20Eg2sVqN2I/BNwtDX91RcjiaRgUhS34nqzb8GXg48Cnys4nI0+Bz6OgQMRJL60Ynl7RWtRu32CuvQcPhv4Kc49HWgGYgk9ZWo3twJ+Ody04UYNenKoa9nlpsOfR1QBiJJ/eZowl/q/wNcV3EtGh4jh74eUW0pmgwGIkl9I6o3tyGsTA3w0fIvd2nSjRr6+u6o3tyqynrUfQYiSf3kYGAn4A/Af1Vci4aPQ18HmIFIUl8YtRDjBa1GbXWF5WgIlUNfzy83Hfo6YAxEkvrFS4FnAMuBT1Zci4ZXe+jrXwOvrLgWdZGBSFK/aC/E+Oly8KY05VqN2gPApeXmKVXWou4yEEnqeVG9+TTgVUCLdYcspKqch0NfB46BSFI/OKG8vbLVqP2+0ko09FqN2h+AL5abDn0dEAYiST0tqjfnAYeVmy7EqF5xdnnr0NcBYSCS1OuOArYBfkEYoSBVbtTQ15MqLkddYCCS1LOienMmcFy56UKM6jXtoa9vierNnSutRB0zEEnqZQcBuwD3AF+puBZpNIe+DhADkaSeVC56965y88JWo7aqynqk0cqOZbtLdGxUb86qsh51xkAkqVcdAOwLrAAuqbYUaVxfB27Foa99z0AkqVe1F2L8bKtRu7/SSqRxOPR1cBiIJPWc8jLmernpQozqdZcDi4An4NDXvmUgktSLTiBczvzNVqN2S9XFSBvj0NfBYCCS1FOienNH4PBy04UY1S8uwqGvfc1AJKnXvB3YFmgCP6i4FmmzjBr6+t4qa9HEGIgk9YzyhNT2ei4uxKh+cx5h6OuLonrzuRXXoi1kIJLUSxLg8cC9QFZxLdIWcehrfzMQSeoJoxZi/HirUVtZZT3SBLUvwX9jVG/uVWkl2iIGIkm94oXAfsBK4OKKa5EmpNWo3QB8C4e+9h0DkaRe0V6I8fJWo7a40kqkzrTHeRzu0Nf+YSCSVLmo3nwSEJeb51VXidQVPwL+hzD09Zyo3tyt4nq0GQxEknrBOwmHGL7datRuqroYqRPl1ZE/Kzf/GbgjqjffVmFJ2gwGIkmViurNHYD2fxYuxKi+V3aE3jFi1zTgEjtFvc1AJKlqRwCzgF8D3624FqkbnsKG/79OB7zqrIcZiCRVJqo3ZxAOlwGc50KMGhC3Ao+O2rcW+F0FtWgzGYgkVekNwO7AYuALFdcidUWrUbsLOJIQgihvjyr3q0cZiCRVqb0Q40WtRm1FpZVIXdRq1C4D9gReDOxZbquHzai6AEnDKao3nw88D1gFfKLicqSuKztCdoX6hIFI0pQrr7b5z3LzC61G7d4q65FUjTSJdwIOBg4DDsny4sY0ifcjrFa/D/Bb4JgsL64d9bzHAh8DDgJWAJ8HTsryYsLnIXrITNKUKtdjuQN4Ubnr9sqKkVSZNIm3I/wuOAjYt9w3DfgacB3hqrxfAZ8Z4+knAQcQRv68GjgaeE0n9RiIJE2ZsjN0Kev/7vlX12eRhtIKYA8gHbFvW+CLwJlZXtwNXA1sMP4ky4sPZnmxV5YXvwL+RLiqb3UnxXTtkFmaxDnwj1leRGkS7w58jjCo8RbgrVleNNMk3h/4CrAMeE2WF7d06+dL6m3leI5zGX99Fs+1kAbDrDSJtx+xvTLLi5WjH5TlxRpgUZrEe47Ytww4FSBN4hmEdcoWjPeD0iReAmwPfCbLi6s6KborHaI0iV8LvH7ErnOA5YTjfzcA7bPrTwZOAS4HjkmTeJs0iT+ZJnHUjTok9Z6o3nxOVG9+hbA2SzzGQ1yfRRosNwMPjvg6bYKvcwkwdxPP3xd4I3BwmsQvmeDPAbrQISpT4MeBC4ATy90HACdkeXFnmsSXAf+dJvG2hAB2F7AVsAtwBnBtJydBSeo9Ub05DXgV4Y+gA0bctRC4kXC5/XRcn0UaRHsDfxyxvUF3aFPSJD4LeDmwf5YXS8e4//lAlOXFT4Db0yS+gfC75uqJldydQ2ZnEpbb/z7rAtF8wmExgCXl7TxCcLqCcJntOcBzs7xoP2c9aRLPJEwKntWFGiVNgajenEm4YuQ9wNPL3WsI5wSc02rUbigfdz7hMNnvDEPSwFk2VojZXGkSn0pY2PJAYGmaxLPL11yTJvH0LC/WAi8DjkyT+JXAdsDTWHfl6oR0FIjKc4JiwqGxF2zi4a0sLxamSTwXmEP4S/HiNIlvJ/zF+MZRxxhPA/6tk/okTY2o3pwNHAWcAOxa7n6I0PI+f3TocX0WSRtxenl7/Yh9L06TeD7wPsJhsnOAJwHXAo8A52Z5UXTyQzvtEL2fcHzvtvZrlSc43QfMLh/TPrFqMUCWF2vTJL6ofO6ZhEvljiVcNnfFiNc+nTD5elfC8UhJPSaqN59A6Ay/nfBXGsA9wHnApa1G7cFqKpPUL7K8uB2IRmxv7LzivHzMCuDw8qsrOj2p+i3AXxHSWntA477ANcCh5dVmhwPXZ3nxCECaxAcA92Z5sZBwDsES4OHy+7/I8mJl2XJbhqSeEtWbtaje/Dzhj6F3E8LQrwn/3p/YatTONgxJ6icddYiyvPhT+/s0iReV+25Pk/gk4LPATYTuzltGPOeaNIl/VG6eAVxVPm5hJ7VImlxRvRkBLyWcKP2KEXf9EDgbuMpp9ZL6VdfWIcryokHZ8sry4k5g3Mvf2leVZXmxgI2sLyCpelG9OQN4E+FE6WeVux8Fvgqc3WrUflZVbZLULc4ykzSmqN6cRVgU7V3A7uXuh4FPAx9tNWq3VVWbJHWbgUjSeqJ6cxfgeMIFD3PK3YsJa419otWo/bmq2iRpshiIJAEQ1Zt7EwYmHgpsXe6+lTBu4/JWo7aiqtokabIZiKQhVp4o/ULCidKvHXHXdYQTpa9sNWprq6hNkqaSgUgaQlG9OR14HSEIPa/c3QKuJJwofW1VtUlSFQxE0hCJ6s3HAIcR1g56Srl7JWHg8rmtRu2WqmqTpCoZiKQhENWbcwkrwh9HmDUI8ADwCeCCVqN2b1W1SVIvMBBJAyyqN59E6Aa9FXhMufsOwlicT7caNVeClyQMRNJAiurN5xDOD3oj60b0/IJwovRXW43amqpqk6ReZCCSBkRUb04DXkUIQgeMuGshIQj9wNEakjQ2A5HU56J6c2vgYMJojX3K3WuALwLntBq1G6qqTZL6hYFI6lNRvbkDcBRwAvC4cvdDwCXA+a1G7a6qapOkfmMgkvpMVG/uBpwIHAlsV+6+BzgPuLTVqD1YTWWS1L8MRFKfiOrNGuGwWMq6f7u/Bs4Bvthq1FZVVZsk9TsDkdTDytEaLyGcKH3giLt+SDhR+ipPlJakzhmIpB4U1ZszgITQEfqbcvejwFcJozV+VlVtkjSIDERSD4nqzVnA24B3AXuUu1cAlwEfbTVqt1VVmyQNMgOR1AOienMX4HjgaGBOuXsxcAHwiVaj9ueqapOkYWAgkioU1ZtPJRwWOwSYWe6+FTgXuLzVqK2oqjZJGiYGIqkCUb35QsKJ0q8bsfs6wonSV7YatbWVFCZJQ8pAJE2RqN6cDryWEISeP+KurxNOlL62ksIkSQYiabJF9eZjgEOBk4CnlLtXAZcD57YatZurqk2SFBiIpEkS1ZtzgWMIJ0vPL3c/AFwEXNBq1P5UVW2SpPUZiKQui+rNJwLvBt4KbFvuvgP4KHBZq1FbVlVtkqSxGYikLonqzf0I5wf9IzCt3P1LwonSeatRW1NVbZKkjTMQSR0oR2u8ihCEXjTirm8TgtDVjtaQpN5nIJImIKo3twYOJqwhtE+5ew2QAee0GrVmVbVJkracgUjaAlG9uQNwFHAC8Lhy90PApcD5rUbtD1XVJkmaOAORtBmienM3Qgg6Ctiu3H0PcD5wSatRe7Cq2iRJnTMQSRsR1ZvPIBwWO5h1/15+DZwDfLHVqK2qqjZJUvcYiKRRyhOlX0w4UfqVI+76IeFE6as8UVqSBouBSEOvPBz2FOA2wkiNk4G/Ke9+FPgqYbTGz6qpUJI02QxEGmpRvfk2wgnR00bdtQK4DPhoq1G7bcoLkyRNKQORhlbZGRorDJ0DnNFq1P489VVJkqow+j8CaZg8hbH/DXzTMCRJw8VApGH2uzH2rR1nvyRpgBmINMyeP2p7LXBUq1G7q4piJEnV8RwiDaWo3pwG/Gu5eS7QAH5nGJKk4WQg0rB6A2EG2YPAh1qN2pJqy5EkVclDZho6o7pD5xmGJEkGIg2j1wPPAJYSZpFJkoacgUhDZVR36PxWo/ZAlfVIknqDgUjD5nVADXgIOK/aUiRJvcJApKFRDm0d2R26v8p6JEm9w0CkYfJaYF9Cd+ij1ZYiSeolBiINhbI79G/l5gV2hyRJIxmINCzqwLOAZcBHKq5FktRjDEQaeKO6Qxc6uFWSNJqBSMPg1cCzgeWEMR2SJK3HQKSBNqo79PFWo3ZflfVIknqTgUiD7lXAc4CHgXMqrkWS1KMMRBpYo7pDn2g1aourrEeS1LsMRBpkBwLPBVZgd0iStBEzOnlymsQzgA8DR5a7GsDbgZ2AzwH7AbcAb83yopkm8f7AVwiXPr8my4tbOvn50nhGdYcuajVq91ZZjySpt3UUiIA3EwJQHfgz8ANCONqfcEXPPsAHgMsI53GcDJwC7AEckybxKcAFwJFZXrQ6rEUa6eXA8wjdobMrrkWSNIY0iXcCDgYOAw7J8uLGNIn3Ay4mZIjfAsdkeXHtqOdNA84CDgci4MvAcVlerJ1oLR0dMsvy4nNZXuxYFvonYBWwGjgAWJDlxZ2EMLRfmsTblj/vLuAeYDpwBnCtYUjdNKo7dHGrUftTlfVIkjaUJvF2wB3AQYSxSu2g8zXgOmAv4FfAZ8Z4+tsIYehA4B8IgeqgTurpyjlEaRI3gfuAWwmpbj7hsBjAkvJ2HvBx4ApCELoT2C3Li8+O85oz0yTeHpjVjRo1VF4KvAB4hPAXhCSp96wgHDFKR+zbFvgicGaWF3cDVwM7j/HcxcBJWV78LMuL64BF4zxus3V6yKzt1cBTgS8BbxnnMa0sLxamSTwXmAMsBC5Ok/h24EbgjVlerBzx+NNY91e+tFlGdYcusTskSVNuVtnQaFs56v93ALK8WAMsSpN4zxH7lgGnwl/OUz4CWDDGc4v292kSv4oQhv6rk6I76hClSVxLk/jlWV7cleXF9wnnEL2I0C2aXT6s/aYsBiiP710EvB84Hji6vP/Vo17+dGAHYO9OatTQeTHhHLaV2B2SpCrcDDw44uu0Cb7OJcDcjT0/TeIakAEnlKfpTFinh8yeCXwtTeLnpUm8D/B84JfANcChaRLvTjjGd32WF48ApEl8AHBvlhcLCecRLSEsmjd95AtnebEyy4ulrDv0Jm1U2R3693Lz0lajdk+F5UjSsNqb0NBof52+pS+QJvFZhItjDiyzwFiPeTLwbeD8LC8unXi5QaeHzBYQQtE3COHqy4TzhL4GfBa4iZAU39J+QpYX16RJ/KNy8wzgqvJxCzusRXoR8HeEk/vPrLYUSRpay8YLMZsjTeJTCVesHwgsTZN4dvmaa9Iknp7lxdo0iXcFvkvIEB8tH7OmPOQ2IR0FovLqsPeUXyPdCbxkE88jy4sFjHFsUJqg9rlDn2w1andXWokkaaLaHaXrR+x7cZrE84H3Ea5IOxJ4Yvl1ePmYawh/GE9It06qlioV1ZsHEJZ7WEXoPEqS+kCWF7cT1hJqb0fjP5q8fMwHCOscdo2jOzQo2t2hy1qN2l2VViJJ6jsGIvW9qN78O8LVZauZwMl7kiQZiDQIRnaH/lBpJZKkvmQgUl+L6s0XElamtjskSZowA5H6Xbs79JlWo9bRolySpOFlIFLfiurNFxAW7lqD3SFJUgcMROpn7e7QZ1uN2u1VFiJJ6m8GIvWlqN58HvAKQnfoPysuR5LU5wxE6lft7tDlrUbt/yqtRJLU9wxE6jtRvflc4JXAWuDDFZcjSRoABiL1o3Z36POtRu22SiuRJA0EA5H6SlRvPgd4NXaHJEldZCBSv/nX8nZBq1H7XaWVSJIGhoFIfSOqN58N1IFHsTskSeoiA5H6Sbs79IVWo3ZrpZVIkgaKgUh9Iao3nwW8ltAd+lDF5UiSBsyMqgvQ8InOvL+1xU+auw38+RGYv+009t7xlujM+7taU+uUHaOuvqAkqa/YIVLvW7YqhCGA3berthZJ0kAyEKn33bk03M5/DGy7VbW1SJIGkoFIvW35yO7Q9tXWIkkaWAYi9bY7Hgq38+wOSZImj4FIvWv5avjzivC93SFJ0iQyEKl3tc8dmvcYeKzdIUnS5DEQqTctXw332R2SJE0N1yFSb5rq7tCpT9rytZEm2xm3uTaSJE0RO0TqPXaHJElTzECk3vOHsjs013OHJElTw0Ck3vLwaljc7g65KrUkaWoYiNRb2ucOzd0GZm1dbS2SpKFhIFLvWK875LlDkqSpYyBS7/hDuSr1jnaHJElTy0Ck3vDwalj0cPje7pAkaYoZiNQbRnaHtrM7JEmaWgYiVW/FGrtDkqRKGYhUvfa6Q3aHJEkVMRCpWivWwL12hyRJ1TIQqVrt7tAcu0OSpOoYiFSd9bpDrkotSaqOgUjV+Ut3aCZsP7PaWiRJQ81ApGo84pVlkqTeYSBSNf7wELSA2XaHJEnVMxBp6j2yBu5dHr63OyRJ6gEGIk29kd2hHewOSZKqN6PqAjRconpzd6Jyw+6QJKlH2CHSVDuVFqEzZHdIktQjDESaMlG9+QTgbQDsYXdIktQ7DESaSqcCW9sdkiT1GgORpkRUb+4GHAG4KrUkqecYiDRVTgG2Bn7E7G2qrkWSpPUYiDTponrzccDby80PVFmLJEljMRBpKpwCzAR+DPyg4lokSdqAgUiTKqo3dwWOLDc/0GrUWlXWI0nSWLqyMGOaxCcD7wYeCywEDgfmAp8D9gNuAd6a5UUzTeL9ga8Ay4DXZHlxSzdqUM96L7AN8BPg+xXXIknSmDoORGkSvxz4MPBq4I/A94ATgH2B5cA+hPNGLgOeA5xMOISyB3BMmsSnABcAR2Z5YfdggET15i7AO8pNu0OSpJ7VjUNmq4BTsrz4XpYXvyZ0g3YGDgAWZHlxJyEM7Zcm8bblz7wLuAeYDpwBXGsYGkgnE7pD1wPfrbgWSZLG1XGHKMuLa4BrANIkfibwPEIH6HjCYTGAJeXtPODjwBWEIHUO8NwsL04c/bppEs8knIg7q9MaNfWienNn4Ohy89/tDkmSelnXTqpOk3g34BvAuVle/HSch7WyvFhIOL/o6cCbgIVpEt+eJnGjDEFtpwEPAjd3q0ZNqZOBxwA/Bb5TcS2SJG1Ut06qnkc4JHI18P5y933A7PL79uCqxQBZXqxNk/ii8rFnEjoJxxLOQ7qifOzpwEeAXTEU9ZWo3twJOKbc9NwhSdKY0iTeCTgYOAw4JMuLG9Mk3g+4mHAO8m+BY7K8uHaM5+4BHFI+91lZXiwb/Zgt0XGHKE3iWcC3gDuBk4Ad0iTennAY7dA0iXcnXHV2fZYXj5TPOQC4t+wWTSccUnu4/B6ALC9WZnmxlHWH3dQ/3kPoDv0/wlWHkiStJ03i7YA7gIMIF2KRJvE04GvAdcBewK+Az4zx3KcDvwFeVz6uY904ZPZGwtVjryB0hR4AmoRwNAO4CXgW61Yqbp93dHy5eQZwFbAb/ufZ96J6cz6h2wd2hyRJ41tBuOI8HbFvW+CLwJlZXtxNOPK08xjPvYNwBOnkbhXTjZOqP0dYb2gsL9nI81rl7QJgQad1qGecRPhA/4zQOZQkDZdZ5ZGitpVZXqwc/aAsL9YAi9Ik3nPEvmXAqQBpEs8gDAXfICNkebG8fEzXinalanVNVG/OA44rNz9od0iShtLNhIui2l+nTfB1LiFchDXR52+RrpxULZXaq5X/AmhUXIskqRp7ExZqbtugO7QpaRKfBbwc2L88n3jSGYjUFVG9OZd154XZHZKk4bWskxCTJvGphBmYBwJL0ySeXb7mmjSJp2d5sbZLda7HQ2bqlncRFtH8X+DKakuRJPWx04EdCFMOHii/9k+TOAF+Plk/1A6ROhbVmzsC7yw3vbJMkrTZsry4HYhGbEfjP5p81HN/OPK5nbBDpG54F7AdYb2Ir1dciyRJW8xApI5E9eYc1nWHPHdIktSXDETq1ImE0Sw3AEWllUiSNEEGIk1YVG/OBk4oNz/YatQerbAcSZImzECkTpxAuBLgRsLsGUmS+pKBSBMS1Zs7EA6XAfyH3SFJUj8zEGmi3gnMJgzv/Wq1pUiS1BkDkbZYVG9uT7jUHuwOSZIGgIFIE3E8MIcwwC/fxGMlSep5BiJtkbI79O5y8z9ajdqkzJSRJGkqGYi0pY4DdgRuAb5ccS2SJHWFgUibLao3twNOKjftDkmSBoaBSFviWEJ36LfAlyquRZKkrjEQabNE9eYs4D3l5ofsDkmSBomBSJvrGGAu8Dsgq7gWSZK6ykCkTVr+6ExYvzu0psJyJEnqOgORNumi+18JMB/4PfCFaquRJKn7DETaqIcf3ZqzF7++vflhu0OSpEFkINJGXXz/K1m0djbA/wELqq1GkqTJYSDSuB5+dGvOum+97tDqKuuRJGmyGIg0rkvuP5B718xhz63uBbi86nokSZosBiKNacWI7tD75ufYHZIkDTIDkcZ06f2v4E9rdmSPrRZx6OwfVl2OJEmTykCkDTzy6Faced8bAPiX+V9l62leWCZJGmwGIm3gkw+8gj+u2ZHdt1rEW2ZfXXU5kiRNOgOR1vPIo1txxuLQHTpt/n/ZHZIkDQUDkdZz2QMv4541c9ltxn0cPvv7VZcjSdKUMBDpL1Y+OoMzFr8RCN2hmXaHJElDwkCkv/j0Ay/jrjXzePyM+3jbnO9WXY4kSVPGQCQgdIdOvy90h06d/zW7Q5KkoWIgEgCfWfJS/rB6Po+b8WeOsDskSRoyBiKx6tEZnL54XXdom2kuSi1JGi4GIvHZJS/hztU7seuM+3n7nO9UXY4kSVPOQDTkVj06g/9c/I8AnDLP7pAkaTgZiIbc5UtexB2rd2KXGfdz5I52hyRJw8lANMRWt6bz4cUJAO+ddwWPmbaq4ookSaqGgWiIfX7Ji7h99c7sPOMBjtrx21WXI0lSZQxEQ2p1azofXhS6QyfPK9jW7pAkaYgZiIbUF5YcwG2rd2H+9CW8Y8eFVZcjSVKlDERDaE1rGh9avK479NhpKyuuSJKkahmIhtAXlhzA71ftyrzpD3LM3KuqLkeSpMoZiIbMyO7Qe+wOSZIEGIiGTrbk7/ndqscxd/pSjt3R7pAkSWAgGiprR3WHZk1/pOKKJEnqDQaiIfKlB/fnt6sez47Tl3Lsjt+quhxJknqGgWhIrG1N4z8WvQmAk+ZeyXZ2hyRJ+gsD0ZD4yoMv5JZVuzFn+kMcN/ebVZcjSVJPMRANgbWtafzH4tAdevfcK9l++oqKK5IkqbfM6MaLpEm8E3AwcBhwSJYXN6ZJvDvwOWA/4BbgrVleNNMk3h/4CrAMeE2WF7d0owaN76tLn89vVj6B2dOWcbzdIUmSNtBxhyhN4u2AO4CDgH1H3HUOsBzYB7gBuKzcfzJwCnA5cEyaxNukSfzJNImjTmvRhh5tRXxw0UEAvGveleww/eGKK5Ikqfd045DZCmAPIB21/wBgQZYXdxLC0H5pEm9b/sy7gHuA6cAZwLVZXrS6UItG+erSF3DTyt3ZYdpy3ml3SJKkMXV8yCzLizXAojSJ9xx113zCYTGAJeXtPODjwBXAKkIX6blZXpw4+nXTJJ4JzARmdVrjsArdoXDu0Ilzv8Hs6csrrkiSpN401SdVt7K8WAjMBZ4OvAlYmCbx7WkSN8oQ1HYa8CBw8xTXODC+tvR5/HrlHmw/bTknzPtG1eVIktSzJjMQ3QfMLr/fvrxdDJDlxVrgIuD9wPHA0eX9rx7x/NOBHYC9J7HGgTXy3KET536DOXaHJEka12QGomuAQ8urzQ4Hrs/y4hGANIkPAO4tu0XTCYfUHi6/ByDLi5VZXixl3WE3bYFi6d9yw8o92X7ack60OyRJ0kZNZiA6iXCO0k3As4C3t+/I8uIaQmcIwknVVwG7AQsnsZ6h8Wgr4oOLQ3fonXO/aXdIkqRN6Mo6RABZXtwORCO27wRespHHt8rbBcCCbtUhuPKh5/KrR57IdtMe5l1zr6y6HEmSel7XApF6Q6vFX64sO37uN9lxhkccJUm9aZyFnfcDLiasY/hb4JgsL64d47nvAt4DbAV8FjilkyV8HN0xYL7x0HP45SNPZta0Fbzb7pAkqUeNtbBzmsTTgK8B1wF7Ab8CPjPGc/chLN1zOPAa4DjWvzBrixmIBkirBR9Y9E8AHLfjN5k746GKK5IkaVxjLey8LfBF4MwsL+4GrgZ2HuO5fw/cmuXFd7K8+Cnwk3LfhHnIbIA0HnoOv3jkyTx22gpOmvf1qsuRJA2nWWkSbz9ie2WWFytHP2ishZ2zvFgGnAqQJvEM4AjGPs945OLPEK5Wn99J0XaIBkToDoUry47d8Srm2R2SJFXjZsLCyu2v0yb4OpcQFnLe3Od3NALMDtGA+NayZ/PzR/Zi2+gR3jOvqLocSdLw2hv444jtDbpDm5Im8VnAy4H9yzUJRxu5+DOEBaBv3dKfM5KBaACs1x2aexXzZ4z12ZEkaUosGyfEbJY0iU8FjgQOBJamSTy7fM01aRJPL6dd/Ai4ME3iOvAn4AXAuZ0U7SGzAbBw2d/w/1b8ld0hSdIgaI/uuh54oPzaP03iBPg5QJYXNwLvBi4lLO58YZYX3+7kh9oh6nMju0NH77iQnWY8WHFFkiRtvjEWdo7GfzT5iMedB5zXrTrsEPW57yzbl5+ueCqPiVZy8vwrqi5HkqS+ZCDqYyPXHXrHjgvZ2e6QJEkTYiDqY99b/kyuW7E320Qree88u0OSJE2UgahPjTx36Kgdv8MuWy2ptiBJkvqYgahPfX95jWsffjozo1W8d97Xqi5HkqS+ZiDqQyPPHTpyznd43FYPVFyRJEn9zUDUh36w/Bn8+OGns3W0mlPm2x2SJKlTBqI+1D536O1zvsPjt7q/4mokSep/BqI+88Nlf82PHv5rto5Wc6rdIUmSusJA1Gc+sDh0h46Y81122+rPFVcjSdJgMBD1kR8tfzo/XP4MtopWc6pXlkmS1DUGoj7SvrLsbXO+xxO2vq/iaiRJGhwGoj7x4+VP4+rlNbaKVnPavP+quhxJkgaKgahPtK8sO3z21exud0iSpK4yEPWBa5fvzfeW78sM1nDafLtDkiR1m4GoD7TPHXrLnKvZc+tFFVcjSdLgMRD1uOsefirfLbtD/zL/q1WXI0nSQDIQ9bj2uUOHzv4hT7Q7JEnSpDAQ9bCfPvwUvr3sb5jOWt63U151OZIkDSwDUQ9rnzt06Owf8KSt7624GkmSBpeBqEf9z8NP4aplzw7dIc8dkiRpUhmIetQHF78JgH+efQ1PnvmniquRJGmwGYh60M9WPJlvPvQcprGW98333CFJkiabgajXrFzD8fe8HYA3z/4RT5n5x4oLkiRp8M2ougCN8KflcOsDXM/eQIunbn131RVJkjQU7BD1ipVr4NYHRuyI+LdFKXetnltZSZIkDQsDUa9YsWaDXWuZzu9W7lpBMZIkDRcDUa94zIZHL6ezlr08h0iSpElnIOoVM2fAU+b8ZXM6a7nkcRex21Z/rrAoSZKGgydV95JdHgtzZvKDRUew18w/GoYkSZoiBqJeM3MGL5p1Y9VVSJI0VDxkJkmShp6BSJIkDT0DkSRJGnoGIkmSNPQMRJIkaegZiCRJ0tAzEEmSpKFnIJIkSUPPQCRJkoaegUiSJA09A5EkSRp6zjKThkB05v2tqmsYrXXKjlHVNUhSmx0iSZI09Ca1Q5Qm8UHA6cAc4ArgaOA/yttvAG/O8qLn/nKVJEnDZdICUZrEc4HPAMcCPwW+B7wHSIG/BS4H9k2TeDtg7ywvLp2sWiT1oFOf1Ht/DJ1xm4fxpCE1mYfMngtEwGezvLgJ+BbwImAFcDuwFNgROAcoJrEOSZKkjZrMQ2bzgeUjDoktAZ4EXAM8CFwNHAF8KMuLRaOfnCbxTGAmMKvctXOaxF0vcpvaOV1/zU79eU3vnet+XBI/vluv5Xu+eXzPp14333NNvaJ2zl1V1zBa3HzPblXXMIV2rrqATkSt1uR0rdMkPhT4SJYX88rtc4BnZXnx0jSJtwLeCLwUmA68HPjPLC8uGvH8fwf+bVKKkyRJk+XZWV78ouoittRk/ol2H7BdmsTTsrx4FNgeaHeCdgFOAt4NfIRwXlEOXDTi+aeX9wE8Dei55D9JZgE3A3sDyyqupd/43nXG968zvn+d8f2buF5673YGfllxDRMymYHof4C1wFFpEv8AeBXwofK+fwWOB9YAq4A/E843+ossL1YCK8vNn05inT0lTeLty2//mOXF0kqL6TO+d53x/euM719nfP8mrsfeu7sr/vkTNmknVWd5cR9wOPBe4DrgO8Bny7uPzPLieuAXwL2E8PSxyaqlz6wEPsC6MKjN53vXGd+/zvj+dcb3b+J877pg0s4hkiRJ6heuVC1JkoZe7133OmTSJP428IoRu84lHD78HLAfcAvw1iwvmhWU15PSJN4JOBg4DDgky4sb0yTenTHeszSJI+AMwuHb1cA5WV58tKLSe8I4718KfHHEw/6c5cU837/1pUl8MuFikMcCCwnvy1z87G3SOO/da/Fzt0lpEs8APgwcWe5qAG8HdsLPXtfYIareroTVvOeUX+8nLFa5HNgHuAG4rLLqeky5svkdwEHAviPuGu89exVhVMyrCb9Mzk2T+BlTVW+v2cj7tytwLes+h08q9/v+ldIkfjnhP6VDgOcDfwecgJ+9TdrIe+fnbvO8mRCA6oT372WE98XPXhfZIarersD/ZXmxpL0jTeIDgBOyvLgzTeLLgP9Ok3jbLC8erqrIHrIC2APYFvi/EfvHfM/K/T/J8uJnAGkS3wbsT/jlMYzGe/92Be4e+Tks+f6tswo4JcuL7wGkSXwL4RJjP3ubNt57two/d5uU5cXnCJ0g0iSeTXjfVuNnr6sMRBVKk3hrQrv97DSJP0W4Gu8owirf7bUklpS384A7p7rGXpPlxRpgUZrEe466a7z3bOT+9n3zJ6/C3raR9+9xwPPTJL4LWAycXP7n5ftXyvLiGsJK+6RJ/EzgecAphCVE/OxtxEbeu3fi526zpUncBJ4O/BC4GPg4fva6xkNm1WoBxwHvAt4A1IB/38hjtWXGe898Lzf0SeCDhPPZrge+XAb2sQz1+5cm8W7AN4Bzs7wYb400P3tjGOO983O3ZV4NHAg8E3jLOI/xszdBBqJqTQe+nuXFd8tfDgUhFN0HzC4f015wa/GUV9dfxnvPRu5v37fB7DxxC/CFchDzBYTBy4/H9289aRLPA75LmMX4/nK3n73NMM575+duM6RJXEuT+OVZXtyV5cX3gR8QhqX72esiD5lVay/ghjSJ/wn4f4Tk/yPCB/fQNIl/RLhK4PosLx6prsy+cA1jvGdpEl8DHJcm8fOAHYAnE95jre9K4I40id9JuALtfsKKs75/pTSJZwHfIhy6PgnYIU3iR/Gzt0kbee/83G2eZwKfKE9Of4hwYvW5hHMB/ex1iR2iCmV5cSPhGPq5wP8CvyOMNTmJEFZvAp5FuLpAGzfee/YtwjIG3wA+A7wry4vfVFJhbzuC8Jf574AYSLK8WIXv30hvBJ5DOLxzH/AA0MTP3uYY773zc7d5FgCXEN6PH5W3H8fPXle5UrUkSRp6dogkSdLQMxBJkqShZyCSJElDz0AkSZKGnoFIkiQNPQORJEkaegYiSZI09AxEkiRp6BmIJEnS0DMQSZKkoWcgkiRJQ89AJEmShp6BSJIkDT0DkSRJGnoGIkmSNPQMRJIkaej9/1LWgEv7nVoyAAAAAElFTkSuQmCC);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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QLpSY4ASfig9Kh+Gr0AF9ieCAq6gf2dNZsz+i16oaJ4uQFZ81twPHhtcofb1itukKub0Umm1/IOOuohQ/nzWH5Y733qxZl4a3egWw861QKb3Ma0ugaZLL5Yb1gTD6kjXebTQpvIiLNl6bgdCpwRxQnjxTvcNZcCyQV1r0euBI/gPxjVK5VV8kP8AV/b6nbXteoXeuopSi8TaV1oa24lCqOidum/i2uTRjb1sietWrbbFZ4E5Fu0zW16pw1++DD1lNRnJw9xnqTqmEjnaksvNU7kI1nm7RpVWgr3qfwJiLjolp1tcsBr+B7tkTGJXw4bwrLy63YhxDeptHanrfpZbtVqTeumQqj9Lw1szdui8KbSPfomuAUxcnrWr0PIpMRPpz7w9ISZeGtVT1vpeEtg7/6dKvGtLgmhZIpQZod2or3KbyJNEkqg5Oz5ijgh+HbLfiJHi/ED6y+Nty/CX/12+IoTm4r2fZv8WOgjori5L6J7kMtteoaWYdOJI3Kwlv5lalNkcnme5hcz1s9eudKryxNQ3gbHGM+t6b0xhVyfZOYv0WkfaQyOJWYi/+jPAkfmM4BXgL2wb9xnQPEzpo/ieJkTdhmAf6P+VRgwsFJRNIpTMJa/OBuibLwVs9ANp51SsNbD/6q5JmNaXF1mWx+gBaFtuL3aQ9vlcpuSftJe3BaG8XJOuDrzprL8VcwFYohyVnzVeB8YD/gZ6FA8DuBxcDnnDUfjuJkfejBuhs/OPxv8YPCTBQnTzW7QSLS/lIU3oqBqlU9b1NLdqmXdIS38QSwuge7Qq5vYJR9Ky27NZjJ5hcWcn3X1PUHIE2R9uAEgLPmWHw3+Kayh07CXyb/dPh+PvBr4Cv48HQS/rQd+F/WR4Av40u2LKRkvqdGllwREam3EN42hKUlysJbq3reysPbrLC0RCab38LIcLUF2L9ktR7g6kw2/wLwo0Kub3XTd1QmLO3BaYWzZgr+j2AxsAbY3lmzBt9NPRVYEMXJC2H9+cD1UZxscdZ8H3/a7vqS54uiOFnnrHkU2KnstSZQcmXphBolItIJUhLeeml9z1vpZ+kU/D/g1f4J7wFuCm1YhR+zW1yWhNtlo/VgSeukPTgdhq9Ddy/wPP6/iTX4WnRvxE9ouRzAWXMY/pTdp5015+LbNs1Zs+coz10+sLuRJVdERKQBQrB4JSwtURbeKoWrucANjPzceR7/mbNzWN5R9nh/Jpt/gpGBakkh17euIY2RqtIenJZHcfK4s+bfgQvw4WYwipNngGecNTcBF+NnAz8VeBhf767oPnwv1I+rvVAjS66IiEjnqiW8ZbL5OYwsu3VNJpufjf+n/4CyZT988Hp9WMqfbwWVe6l+p6kpGivtwano8/hB3eWX+34CeMxZ8xf4wPTPpQO+nTXfxQeqqsFJRESkUUYruxV6jn4ZlleFXqy98GOjykPVzvherLnA0WUvtS6TzRdDVOnyVCHXt7ExresuXVNypVbFqdiv2Ovx6mOcLl6qeZxERKSpMtn89gwFqtJgtS++R6uSAv5CqvJA9RvgxW7qpVLJlQZZtOxA1aoTEZHUKeT6XgJ+EpZXZbL5acDeDAWpYqh6HX46n73D8r6yp1ydyeYrBaqnC7m+zY1rSXtScBIREekAhVxfsaLGsAucQqmknRl5ym9/YB6wHfD2sJTanMnmf8vIQLWkkOtb06h2pF1Lg5Oz5gRgRhQn32via34RuDyKk+fGWq+WkivVqCSLiIi0WjgNtzIswypqZLL5rfCzmVcKVTNLvqdsu98zfFB6cVkepqnoWC0LTs6at+EnqjwifP9e/BVy++MPxLnFGnTOGgNMi+Lke86aBcAlUZzsOMGXfhi41VlzaBQn5RNqioiIdI1Crm8DkA/Lq8LkpnswMlAdAOwO7BqWo8qecmPJ4PTSUPVEIde3vmENaaJW9jhdDnwhipPnnDUHAf+Nn4Dy28BxwE3OmkOiOHkUMPjJxCbVM+WsyURx8l1nzd/j69xdNpnnExER6USh1+jZsNxZ+liYWmF/Rl7x91r8vFVvCAtl2y1n5PQJvwGeLx+cnua6fi0JTs6a1wGHAO8Jd50OLIni5KLw/ZXOmpOB00MplFPDdjngv4Cpzpob8APcHgGOj+JktbPmROASYEcgwZdVccCl+Gm+n8WXYYnCayo4iYiIjEMh1/cy8L9heVUmm5+CHzNVfrXfAfjP5T3DckzZU/6xbHD6HsCZpLSuX6t6nN4OPFss1ov/oT5ats5j+B/8icAcfNmVUwCLn8/pm8AXgB8CJztrbgW+A/xN2DYCzsLPND4HXwz4gfDcvwAud9bMiuJkPahWnYiIyGQUcn1bgKfCkit9LJPN78jwMFX8eh9ga+DQsJTrAa7KZPO3p6XnqVXBaVegdOR1hpFT0QMQxckGZ80m/Bin9c4agJejOPkfAGfN0vB8R+ODz3+GTWfie7XuBtZGcXJrydO+EF5ve6B4znUCteqqOJfh82Jo3icREelChVzfi8CLDHVgAJDJ5qfjw1MxUB3JyB6pXvwcVV0dnDbhg03REuDPy9b5U/xpuFpkgEF8Feo3ha/Bh6LjKqw/PdyWFqZUrToREZEmKuT6+oHHw0Imm/8msAzf01Q0gO/FSoWe6qs0xG+BXZ01xR6Yq4H9nDWfdtbs6aw5E1/g9z/C4/3Abs6aXcZ4zvvxqXQ+fobUM4GDRll3d2A18IfiHVGc9Edx8jKgwokiIiItEE7HLcSHJRiq65eK3iZoXXC6H9/jdBBAuHKuWG/uCfwVbydGcfKrsP4N+C68K0d7wihOluIHgv81vsfoYPxYp0reAdwZxUnXTDEvIiLSDsJA8HnAO4F5aRoYDi2sVees+TrQH8XJoia/7nR8j9fJUZw8WOHx2mvVjZfGOImIiLRUO9eqWwz8yFlzdBQndzXxdf8NuKFSaCqlWnUiIiJSrmXBKYqTl5w1RwI7Nfmlrwd+XMN6u4Qr+ERERKRzjDVeuqqWnapLK2fNm/DzPImIiEjnOiSKk1+Od6OWFvlNqYfx8z+tbOE+zMYPcD+Azr7KT+3sLGpnZ+mGdnZDG0HtrGQX/Of9uKnHKYWcNXOAtcA2YYqEjqR2dha1s7N0Qzu7oY2gdtZbq6YjkLH1A58Pt51M7ewsamdn6YZ2dkMbQe2sK/U4iYiIiNRIPU4iIiIiNdLg8BZw1uwMnAKcCnwgipNHnTVTgPcCC4AlUZx8epRtPwssAmYANwILozjZ1JQdHye1c+x2Omt6gEuBv8OXADovipOoaTs+Tt3QzlHa+Gbga/hKB08AZ0dx8kCFbT8KfAKYClwHLE5rdQK1s6Z27gV8IGz7xihOUjuoWu0cu53hPehLwAfxtW1vABZFcTLABKjHqcmcNVvjCxi+H18Wpujb+CLDRzBUhLh824OBC/AfQIfjy9TMb9zeTpzaWb2d+D/+BfgC1x8FrnPWzGvQrk5KN7SzUhvDG+4PgJ/gq7M/AlxbYduDgEvwb8zH40P/+5qx3+OldtbUzgOBX+Pfe/Ztzh5PjNpZvZ3Ah/C/s+8BjsO/J71/ovui4NR8G4C98HX1Sv1DFCf74S+lHE3xv7plwLP4AXB1rgtTN2pn9Xa+FXggipNfRHFyI7AUOKYxuzlp3dDOSm2cCXwH+GKoJHAPlSfPewfwZBQnd0Rx8hDwYLgvjdTO6u1cBuwGfLLRO1kHamf1dr4AfDyKk59HcfITYNUo69VEp+qaLIqTLcCq8v+4ozh5voZtH3HWXIFP1YP4YsnfaMR+TpbaWb2dwNPACc6anYBtgR2Bneu9j/XQDe2s1MZw2uJcgHBa8jTgWxU234nh88asoflVEWqidlZvZxQn68M6zdjVSVE7a2pnUvzaWXMsPjR9f6L7oh6nNhJmNT8NsMC7gDcAf93SnWqAbmkn/rz8s8DzwM3AtPB1p+mUdl4F7ACcV+P6qRz3UwO1s7OonYGzpg+IgI9EcbJ8oi+kHqf2cjSwNIqTHwA4a+4GjsX/InSSrmhnFCdrgbc6a3bAf/isBH7V2r2qv05op7PmS8C7gSNGmVjvRXxvWtEc4Mkm7FpdqZ2dRe0cts4+wO3A5VGcXD2Z11OPUxtw1vSGLx8H9nHWHBUG9R0W7usIXdhOnDVbAXviz9PfG8XJz1q2Y3XWKe101pwLLMT3gL7srNk2nBYobeP9wN7Ommy4yucw4N5W7O9EqZ3Df2fbndo51E5nzW7AncCtwGVhndkTfU0Fp5Rz1lhC0eEoTnLAl/GXUj4I3A18pWU7V0fd2M7gY8Ad+FNXHXM6ssPaeRGwDfBT/HQKq4Ejyn5nH8W38Wr8m/MVUZzc3prdnTC1s7MKvKudQ+1cCLwGf2VdcZ3cRF9QM4eLiIiI1Eg9TiIiIiI1UnASERERqZGCk4iIiEiNFJxEREREaqTgJCIiIlIjBScRERGRGik4iYiIiNRIwUlERESkRgpOIiIiIjVScBIRERGpkYKTiIiISI0UnERERERqpOAkIiIiUiMFJxEREZEaKTiJiIiI1EjBSURERKRG/w+KXn6VdLkUSAAAAABJRU5ErkJggg==);} 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);} 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);} 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IrIt3PjkfptEs93TAeZZLOCylaTiZHbFjqqMBUlsvgJCKtZ+8C6pRelPLxbvgdN07nXerRLNoidXTDLxURqVC1BEin9KIMMnMwZ6fKoqdkvks9XTseRSSPchWcfM/dHTgBOBk4KQij9fXOzWKtOq2R1nnmuPU4y16UwVT/o1sj6a3H7QwwWrZCRJqWm+Bk75Z7GPgNFXfT9ZpOnqZ+PnVuPc66F6Xbbj3OKqQ0dOuxiEi3yU1wArYDewE7AX/KuC2pcIql9wNXYy6Z1J2mfo5bj7PuRem2W49bFjSaea0u9YiItE9uglMQRhPARt9z9651vNuXXLE9TeXQhN1/zSmWLmA6JM21DlKnWcitx+0cj6JLPSIiOZab4JTA+WS95Mp5mA/lxpYM2Zfag3P3bqJF9WwHNlZtT9nndeuxiIj0LAWnaRfS3Uuu3I8ZkFsZnmLg65hLYDvX2RqZU2YIc9lzr6rntwDPNbCVA9PzGhsjIiKdTMHJ6vYlV+aYpn7WGKdKTrG0mPqhKulWvstrqd1e3Oh/h1MsbaWx8PXCpvAlIiJpUXDqIY1MUx+PDO8AdgBPNvp9nWJpkObDV3kdwSV227OJ9myj+fA13uj3FxGR3pW74GTXp+v0gdENy2Ka+nhkeJTpsU4NcYqlRTQfvobs2+1kt9VNtGc7zYevsUa/v4iIdKbcBaektFZde9mQ8ZTdGmLD13KaC1872bcbstseTbRnB82Hr9FGv7+IiLSegpP0DBu+nrZbQ5xiaYDmw9cS+3aL7baqifaM0nz42tHo9xcRkZkyDU6+5x4LLA7C6Ltt/J4XA5cFYfTYXOe1eskVLafSHezYpmfs1hC72G2z4as8n9ggsLvdGm3PGM2Fr00KXyIiRmbByffcQ4F/Ag6zX78FuAh4OXAfcF4QRjfZYy6wKAij7/qeewpwSRBGKxv81vcCN/qe+9ogjDQGRVrO3tX3Z7s1xC4/02z4Kt8hugjYzW6NtqfZ8PUcsENzc4lIt8uyx+ky4HNBGD3me+4BwA8xE1B+C3gb8APfcw+2C/G6mL/Am+qZ8j3XCcLoO77nfgT4MPDFZt5PJC3xyPAk8KzdGmLD1zKaD18OLQhfwLhTLDUbvrY3Gr66eR1HEekcmQQn33NfARwMHG2fOg24LwijC+3XV/ieezxwml0K5WT7uhHgX4EB33NvAI4B/ht4exBGz/qeexxwCbASiIC1gA9cCjwIPAq8Awjs91Rwkp5lw9cmuzXEKZYKNB++lmPC1wDmZ7PR3mKAiQbD15HAp5lnHUcRkflk1eP0euDRIIw22a/3A9ZXnfM7zGW74zC/eJcAJwAe5m6nbwKfA+4Ajvc990bg28CJ9rUBcAbmQ2M58CngbvvevwIu8z13SRBGW6H716oTSYNdQLgcPhpiw9dSmg9fBczvrBV2a1QBuMoplm5Wz5OILFRWwWkPZo7/cKgzt1IQRtt9zx3DjHHa6nsuwPNBGP07gO+5D9r3OxITfL5uX7oTplfrNuC5IIxurHjbp+z32xXYap9Ld6268jp0lRpbk06kq9jw9bzdHm3kPZxiyWFh4atyfNgqZs/p1YeZKFbBSUQWJKvgNMb0fDlgBoMfUXXOKzGX4ZJwMOu07QBebR+DCUVvq3F+eYmQ7RXPdftadSI9y45r2my3BYUdO7bpYWau4zgJPNCyBopIbhTmPyUV/wvs4XtuucflauBlvud+0vfcl/ie+0HgDcDX7PFRYLXvuXPNh3MX5q/I92IWt/0gcECdc/fEDLp94ZbzIIxGgzB6HrNQrYj0CHs5bi0mLMH0Oo7qbRKRBcsqON2F6XE6AMDeOfc3wPHAHzF3vB0XhNFv7fk3YMZBXVHvDYMwehAzEPw9mB6jgzBjnWp5I3BLEEa6NVokB+xA8L2Bvwb21sBwEWmUE8fZZAffc/8ZGA3C6Mw2f99BTI/X8UEY/azG8RcDG76y1+9bO8apFo1xEhERaavy5zzQ0NJqWc7jtA74D99zjwzC6NY2ft8vAzfUCk2VtFadiIiIVMssOAVh9Gffc99EcxPqNeJfgP9McN4qewefiIiI9I6G1w+FDC/VdSrfc1+NmedJREREetfBQRj9eqEvynSR3w51L2b+pyezbkiKlmIG0O+H7iKspLrUprrUprrUprrUprrMlmVNVmE+7xdMPU455HvucsxM0DvbKRgE1aUe1aU21aU21aU21WW2bq1JVtMRSLZGMet2jWbdkA6jutSmutSmutSmutSmuszWlTVRj5OIiIhIQupxEhEREUlIg8N7kO+5uwMnACcDJwVhtN733H7gLcApwH1BGH2yxusKwKXA+zBL0pwfhFHQtoanrE5dXgNciZnF/o/Ah4IwurvGaz8GfAIYAK4F1vXKzPOqS21N1mUv4CT72lcFYdQzg4FVl9karYn9nft54FTMmqs3AGcGYTRJD+jVuqjHqcf4nrsMs6DpuzHLzpR9C7OI8WFML3Jc7WRMsDoC+Bhwre+5e6fU1LaqVRf7w/k94OfAPphFpb9R47UHAJdgfojfDpwJHNOOdqdNdamtybrsD/wPZhmpfdrT4vZQXWZrpibA+zE/P0djFqQ/2b5P1+vluig49Z7twF6YdfsqnR2E0cswt37WcwhwdxBGvwrC6PvAg8Cb02lm29Wqy07At4GL7Szxt1N7YrQ3AvcHYfSTIIzuAX5mn+sFqkttzdTlYWA1cG7ajcyA6jJbMzV5CjgnCKP/CsLo58DGOud1o56tiy7V9ZggjCaAjdU9RUEYPZ7g5X8CjvU9dzdgF2AlsHur25iFWnWxlwnOA7CXMj8AXF/j5bsxc46RTbR/xvtUqC61NVOXIIy22nPa0dS2Ul1ma7ImUfmx77lvxYSDf0u3xe3Ry3VRj5NUuhJ4FHgc+BGwyD7Og6uAFcD5Cc/viXE8CagutS20Lnmhusw2b018zx0GAuCjQRg90q6GZaxr66IeJ3lBEEbPAYf4nrsC8wH4JPDbbFuVPt9zPw8cBRxWZxK2pzE9cGXLgfvb0LRMqS61JahLLqkusyWpie+5fwncDFwWhNHV7WxfVrq9LupxEnzP7at4PAS8BHMd+qdBGP0ys4a1ge+55wFrAQ943vfcXWwXcmVd7gJe6ntu0d4R8gbgp1m0t11Ul9oS1iV3VJfZktTE99zVwC3AjcAX7TlLs2pzO/RCXRSccs73XI+Zixp/HPgJ5hLdezJpVHtdCOwM/AIzBcOzwGGVdQnCaD2mLldjfpC/EoTRzdk0t21Ul9rmrUtOqS6zJanJWuAvMHeQlc8ZaX9T26rr66KZw0VEREQSUo+TiIiISEIKTiIiIiIJKTiJiIiIJKTgJCIiIpKQgpOIiIhIQgpOIiIiIgkpOImIiIgkpOAkIiIikpCCk4iIiEhCCk4iIiIiCSk4iYiIiCSk4CQiIiKSkIKTiIiISEIKTiIiIiIJKTiJiIiIJKTgJCIiIpLQ/wNjA/e1vwwngQAAAABJRU5ErkJggg==);} 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);} 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);} 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);} 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8DLwROC5xFPcJCJKnnRUn2fOCbFD8Tv0yx9pACKTfMPaoczoiSLA4YRz3CQiSpp0VJNgloApsBvwCOdBJ1eHka30ixQvho4NooyfoCR1KXsxBJ6lnlJOqvAC8BHgHelafxkqChNNAxwJPAnsCxgbOoy1mIJPWyjwPvBpZRlKGHAufRAOX/HieWw89GSbZTyDzqbhYiST0pSrIEOLMcHpWn8W0h82idrgV+CkwErizP6kktZyGS1HOiJNsF+DoQAZflaXxN4Ehah3I+16HAUuDNwAFhE6lbWYgk9ZRyS4hvA5OBnwHHBQ2kZ5Wn8T3Ap8vhF6Ik2ypgHHUpC5GknlHeqfQfFOvb/J1i8cXlYVNpA10I/A7YnNWb7kotYyGS1EvOAP4NWEKxLcecwHm0gcriejCwEnhfOQdMahkLkaSeECXZe4BPlMOD8zT+dcg82njl/2afL4eXR0k2OWQedRcLkaSuV650fF05vDBP4/8ImUdD8ingr8B2wOcCZ1EXsRBJ6mpRkm1BsRL1ROAHwClBA2lI8jReRHHXGcBRUZK9OmQedY/RrXiTWrXSB5wKHAT8qd5oJrVqZXuKf5HtCdwNfLjeaGa1amUv4HpgAbBvvdG8uxUZJGlNUZKNBr4B7ERxVuF9eRqvCJtKQ5Wn8Y+iJPsyxe+ca6Ik2yNP46Whc6mzteoM0UUUG/GdCBxYPnYBsBDYDfgDxeJaACcBM4CvAkfWqpXxtWrl6lq14mJbklrtXOBNFD+LKnkaPx44j1rnRGA28GKKf5BLQzLkQlSrVqYDhwOH1xvNG+uN5qofOHsDM+uN5v0UZWjPWrUysfyaDwAPAX3AOcCt9UbTzRQltUyUZB8Aji+HH8zT+A8h86i1ynJ7TDn8eJRku4XMo87Xiktmr6QoNvvVqpVLgDuAQ4AtKS6LAcwr/54GXArcSLF30AXAK+uN5nFrvmmtWhkHjAMmtSCjpB4SJdnLgavL4Vl5Gn8rZB4Nm/8E/gt4O3BtlGSvydO4P3AmdahWXDLbDMiBWym+KacD56/juXm90bwZ2ALYFdgPuLlWrcyqVStpWYJWOZVil+O7WpBRUo+Ikmw6xSTq8UAKfDJoIA2bcluPo4CngH8GjgybSJ2sFYVoDrC43mheVm80f0sxgTEG5gKbls+ZUv79KEC90ewHLgdOozjleUT5+X0GvO/ZwFRglxZklNQDoiQbCzQobsm+G/hAnsYrw6bScMrT+AGKeakAZ0dJtn3IPOpcrShEtwFLa9XK0bVqZUegAvwGuAU4sLzb7CDg9nqjuQSgVq3sDcwuzxb1UVxSW1R+DEC90VxabzTns/qymyQ9m4uA/wfMB96Rp/GTYeNohFwJ/A+wCXBFlGTepKONNuRCVG80nwTeTTGx+g/AY8AJ5Z/RwJ3AHhTzila95hZWT4Y7B7iJ4l90Nw81j6TeFCXZIRRnm3Ng/zyNXdKjR5RnAQ+hmJv6NqAWNpE6UUvWIao3mj8FXrKWT71hPa/Jy79nAjNbkUNSbyoX57u0HJ6ep/F/h8yjkZen8V1Rkp0JnAl8MUqy7+dpPDd0LnUOV6qW1NGiJHsO8C1gDMVdR27n0LvOo7hSMQ34QuAs6jAWIkkdK0qy8cANwNYUvwgPKu88Ug/K03gZcDDFZdMPREn21sCR1EEsRJI6Ujlx9nKKtdCeoFiJ2pswelyexr8EvlgOr4iSzLXstEEsRJI61dHAh4CVwH55Gv81bBy1kdOB+4AdKOYUSc/KQiSp40RJ9jpWzxE5KU/jHwaMozZTnik8rBx+NEqyfw6ZR53BQiSpo0RJtgPF4ot9FHeoOnlWz5Cn8feArwERcE25aKe0ThYiSR0jSrKJFNtyTKNYAPZQJ1FrPY6n2DXhJcDJgbOozVmIJHWEchL1tcDuFNsAvTNP48VBQ6mtlesQHVsOT4+S7MUh86i9WYgkdYoTgfcBK4B352l8f+A86gzfAL4LjAWujpLM33taK78xJLW9KMneQrHND8CxeRr/PGQedY7ykuoRwELgNayebC09jYVIUluLkmxnin/ljwKuAa4Im0idpjybeGo5PDdKsu1C5lF7shBJaltRkk0Gvg1sCtwGHO0kag3SZRTfQ5OBy8o5adI/WIgktaVyrsdXgV2BhyjmDS0Nm0qdKk/jfuAQYDmwL1ANm0jtxkIkqV2dBlSAZcC78jR+OGwcdbo8jf/I6s1/L46SbPOQedReLESS2k6UZO8AziiHh+dp/IuQedRVzgbuBLYCLgicRW3EQiSprURJtivFCtQAF+dp/OWQedRdysuuBwM5cFCUZG8KHEltwkIkqW1ESbYpxUrUk4CfAicEjKMulafxbcCl5fCqcgV09TgLkaS2ECVZH/B14AXA/RQ72C8Pm0pd7OPA34GdWH15Vj3MQiSpXXwWeBuwGKjkafxo4DzqYnkaP0WxYCPA8VGS7Rkyj8KzEEkKLkqy/YBTyuFH8jT+bcg86g15Gv83UKdc9DNKsjGBIykgC5GkoKIkeymwauL0+Xka10PmUc85DngceCnOWetpFiJJwURJNo1iEvVE4Hus3l5BGhF5Gs8BPlYOPx0l2QtC5lE4FiJJIy5Ksu2iJHsjRRnaEbgXqJWrCUsj7WvA94FxwNXlKunqMf6PLmlERUn2EeA+4IcUu48vBd6Rp/ETQYOpZ5X74x0OLAL2Bj4SNpFCsBBJGjHlLuNX8fSfPWOAJ8Mkkgp5Gv+NYrsYgPOjJNs2ZB6NPAuRpJH0Ap75c2cUsHOALNKavgT8HzAVuCRwFo0wC5GkkXTPWh7rB/4y0kGkNZVz2A4GVgDvjJLsXYEjaQRZiCSNpDXv4OkHDsvT+IEQYaQ15WmcAeeWw0vL7WTUAyxEkkZElGRjWb1/1FeA1wM75ml8bbBQ0tp9Frgb2Bo4L3AWjRALkaSR8jHgxcAc4GN5Gv/UM0NqR3kaLwEOKYeHREn2uoBxNEIsRJKGXZRk2wOfLIcn5Wk8L2Ac6Vnlafxz4IpyeHWUZBNC5tHwsxBJGglfoFiN+ucUi+BJneAU4CGKuyA/+SzPVYezEEkaVlGSvQ14F8UE6iPLRfCktpen8ZPAEeXwpCjJ9giZR8PLQiRp2ERJNh64uBxelKfxHSHzSBsrT+P/AhpAH3BNlGSjA0fSMLEQSRpOM4DnU1x2OCNwFmmwjgXmAS8DjguaRMPGQiRpWERJ9nxW717/sTyNnwqZRxqsPI0fAU4oh58pv7fVZSxEklouSrKIYhuEcRSbuDbCJpKG7MvAj4EJwFXl97i6iIVI0nCoAPsAy4CjnEitTld+Dx8KLAHeAHwoaCC1nIVIUktFSbYJ8MVyeH6exn8OmUdqlTyN72X17fcXRkm2dcg8ai0LkaRWOw14LnAf8LnAWaRW+wLwG2AzisvC6hIWIkktEyXZi1k9+fTYPI0XhcwjtVqexiuAgynW1apGSfaOwJHUIhYiSS1RTjK9FBgDfKdcv0XqOnka/xa4oBxeFiXZ1JB51BoWIkmt8j6KHeyXAB8NnEUabmcAfwG2Bc4OnEUtYCGSNGRRkk0BLiyHZ+Vp/LeQeaThlqfxYoq7zgCOiJLs/4XMo6GzEElqhTOAbYB7gPMDZ5FGRJ7GPwGuKYdXl1vVqENZiCQNSZRkL6XY2gDg6DyNl4bMI42wk4FHgBcBnwicRUNgIZI0aFGSjQIuo/hZ0sjT+PuBI0kjKk/jJ4Cjy+EpUZLFIfNo8CxEkobig8CrgYXA8YGzSEHkafwt4EZgNHBNlGR9gSNpECxEkgYlSrLNgfPK4afzNH4gZB4psKOB+cArgGMCZ9EgWIgkDdbngGnAH1m9VYfUk/I0fgg4qRyeFSXZjgHjaBAsRJI2WpRkr2D1LcdH5mm8PGQeqU1cA9wCTASuLBcrVYewEEnaKOX8iMuBCPhansY/CxxJagt5Gq+k+IfCUuBfgQ+ETaSNYSGStLEOBV4OPMnqSwSSgDyN/0yxLhfAl6Ike2eUZNuFzKQNYyGStMGiJNuK1TvYn5an8eyQeaQ2dQHwd2BT4AbgvijJPhI0kZ7V6Fa8Sa1a+R7F6cFVLgS+BFwH7AncDXy43mhmtWplL+B6YAGwb73RvLsVGSSNiPMofsj/luKymaRnmg48Z8B4FMWcou95N+bT1aqVrYD9KZbwOKDeaN5Rq1b2BK4AdgP+DBxZbzRvXeN1oyh+Hh1Ecfn+m8DR9Uazf7BZWnWGaBvgKGCz8s9pFA15IcV/0B+Aa8vnngTMAL4KHFmrVsbXqpWra9WKk8+kNhYl2V4UP7Ry4Ig8jQf9g0fqci/gmb9f+4CdA2RpW7VqZTJwH/BeYPfysVEUZ9Vuozhevwe+vJaXf4SiDL0F+DeKn03vHUqeVhaiv9UbzXnlnyXA3sDMeqN5P0UZ2rNWrUwsv+YDwEMU3yDnALfWG828RVkktViUZKMpVqQGuCZP41+EzCO1uXuAlWs81g/8JUCWdrYY2AGoDXhsIvB14Nx6o/kg8GOKM25rehQ4od5o/qreaN4GzFnH8zbYkC+Z1aqVscAWwPm1auUailZ3GLAlxWUxgHnl39OASylW9FxGcRbplfVG87i1vO84YBwwaagZJQ3ZMcA/AY8BpwbOIrW1PI0fiJLsUOBKin/49wOH9dDlskm1amXKgPHSeqP5jD0O643mCmBOrVrZccBjC4BTAGrVymjgYGDmWl7bXPVxrVp5G0UZ+tZQQrfiDFFOsULnx4B3ATHw6XU9t95o3kxRoHYF9gNurlUrs2rVSlqWoFVOpbiL5a4WZJQ0SFGSPQf4TDmckafxYyHzSJ0gT+NrgR2B1wM7luNecRfF7+9Vfwb7j6grKfrCOl9fq1ZioA58tLwiNWitKER9wLfrjeYP6o3mL4AmRSmaSzH5EmBVU3wUoJz0dDnFXKNjgCPKz+8z4H3PBqYCu7Qgo6TBu5DiTO1trP1avqS1yNP4gTyNf9pDZ4ZW2YXi9/eqP2dv7BvUqpXzgDcDb6k3mvPX8ZznA98DvlhvNK8afNxCK+4y2xn4Q61aeR/wfxQTnH5GcT3vwFq18jOKiU+3l3OLqFUrewOz643mzbVq5QKKS2qLKMoVAOXptaXlpCtJAURJ9kaKiYorKVakXnNehCStacG6SsyGqFUrp1Csd/YWYH6tWtm0fM8VtWqlr95o9teqlW2AHwA3AV8on7OivOQ2KEM+Q1RvNO8AjqX4V+TvKCaNfRI4gaJw3QnsARwy4DW3sHrzu3Mo/oO2A24eah5JrREl2TiKOX8Al+Zp/LuAcST1jlVXiG4Hnij/7FWrVqrAr8vnHArsRHHCZdVz0qF80SjP2/vmrlq18hyKu9K2K2ecq8NF5z7edt90+RN7ho7wTOf8NehSFFGSfRw4C5gNvChP4ydD5pHU3jr997UrVUt6hnKn7tPK4QmWIUndzkIkaW0uAiYAP6VYE0SSupqFSNLTREmWAO8AVgBH5Wncdpc4JanVLESS/iFKsgkU+xACfD5P4ztD5pGkkWIhkjTQqRR3bjwAnBk4iySNGAuRJACiJHsBxcbLAMflaTzo9TwkqdNYiCQRJVkEXAyMpVj59YawiSRpZFmIJAG8m2JV2GXAMU6kltRrLERSj4uSbBLFbfYA5+RpfE/AOJIUhIVI0ieB5wB/o9hKR5J6joVI6mFRku0GfKwcHpOn8eKQeSQpFAuR1KPKidSXUWzC/O08jf87cCRJCsZCJPWu9wOvBRYDHw2cRZKCshBJPShKsk2BC8rhmXka3xcwjiQFZyGSetNngOnA3cCFgbNIUnAWIqnHREn2MuCocnhUnsbLQuaRpHZgIZJ6SJRkoygmUo8CvpGn8Y8CR5KktmAhknrLh4F/Bp4CTgicRZLahoVI6hFRkk0Dzi2Hn8rT+KGQeSSpnViIpN5xNrA58AeKjVwlSSULkdQDoiR7FXBwOTwyT+MVIfNIUruxEEldLkqyPoqJ1ABfydP4f0LmkaR2ZCGSut8RwB7APGBG2CiS1J4sRFIXi5Jsa+CscvjxPI3nhMwjSe3KQiR1t/OBKcCvgKsCZ5GktmUhkrpUlGR7Ax8AcoqJ1P2BI0lS27IQSV0oSrIxrJ5IfWWexv8XMo8ktTsLkdSdjgN2BeYCnwgbRZLan4VI6jJRkm0HfKocnpyn8eMh80hSJ7AQSd3nC8AmwK3AdYGzSFJHsBBJXSRKsrcA7wH6KSZSrwwcSZI6goVI6hJRko0HLimHF+dpnIXMI0mdxEIkdY+TgJ2Bh1k9h0iStAEsRFIXiJJsJ+Dj5fD4PI3nh8wjSZ3GQiR1hy8B44EfA98MnEWSOo6FSOpwUZK9HUiA5cBReRrngSNJUsexEEkdLEqyiRRnhwAuzNP4rpB5JKlTWYikzvYJYAfgfuCzgbNIUseyEEkdKkqyF1HcWQbw0TyNF4bMI0mdzEIkdaAoySKKNYfGAN8Fvh02kSR1NguR1Jn2A94ELAWOdSK1JA2NhUjqMFGSTQY+Xw7PztP43pB5JKkbWIikzvNpYFvgXuDcsFEkqTtYiKQOEiXZPwEfLYdH52m8JGQeSeoWFiKpQ5QTqS8D+oAb8jS+OXAkSeoaFiKpcxwI7AUsAo4LG0WSuouFSOoAUZJtBpxfDs/I0/jvIfNIUrexEEmd4bPAlsCfgIvCRpGk7mMhktpclGR7AkeUwyPzNF4WMo8kdSMLkdTGoiTro5hIHQFfz9P4p2ETSVJ3shBJ7e1g4BXAfODEwFkkqWtZiKQ2FSXZlsDZ5fD0PI0fDplHkrqZhUhqX+cCmwG/o7hsJkkaJhYiqQ3dunAXgIPK4ZF5Gq8IGEeSut7oVr1RrVppAO+pN5pRrVrZHrgO2BO4G/hwvdHMatXKXsD1wAJg33qjeXervr7ULVbkozjy4cNWDa/N0/i2kHkkqRe05AxRrVp5O/DOAQ9dACwEdgP+AFxbPn4SMAP4KnBkrVoZX6tWrq5VK1Erckjd4NLH9iFbshPA48ApgeNIUk8YciGqVStTgEuBiwc8vDcws95o3k9RhvasVSsTy6/3APAQxX5M5wC31hvNfKg5pG7w0PLNOH3O/quGp+ZpPDdkHknqFa24ZHYu8APgR6zeX2lListiAPPKv6dRFKcbgWUUZ5FeWW80V73maWrVyjhgHDCpBRmljnDiIwfx1MqJvHLCn/nl4hdeEzqPJPWKIZ0hKucEVdiw9VHyeqN5M7AFsCuwH3BzrVqZVatW0rIADXQq8CRw11AySp3ixwv+ifqTryViJZdteyV5Gq8MnUmSesVQL5mdRlFw/gp8A6BWrcwD5gKbls+ZUv79KEC90ewHLi9fewyrtyTYZ433PhuYCuwyxIxS21u2cjRHPXwoAEdufhMvn3Bv4ESS1FuGWog+BLwQ2B04tnxsd+AW4MDybrODgNvrjeYSgFq1sjcwuzxb1EdxSW1R+fE/1BvNpfVGcz6rL71JXevzj72du5Y+l6365vHZ6V8PHUeSes6QClG90Xyk3mjOqjeas4A55WOzgBMo5ifdCewBHDLgNbdQnBmCYlL1TcB2wM1DySJ1qvuXTePMOfsBcP7WX2HTvoWBE0lS72nZOkT1RjOl2ICS8u6yN6znuXn590xgZqsySJ3ouEc+wqJ8PP9v4h85YNOfho4jST3JlaqlgL771Mu5cf6/0Ec/l217JZErcklSEBYiKZDFK8dyzEPF1eTjtvgOLxl/f+BEktS7LERSIOc++i7+unxrth39GJ/a6huh40hST7MQSQHcu3Rrzpn7LgC+sM2/M7lvSeBEktTbLETSCMtzOPrhQ1iaj+XNm/yO6pRbQ0eSpJ5nIZJG2I3zX8XNC17O2Gg5l2x7lROpJakNWIikEbRw5TiOe+QjAJw07UZeOO6hwIkkSWAhkkbUmXP24+/Lt2SHMXP4+Jb/GTqOJKlkIZJGyJ+WbMeFc98BwMXbXM3EUcsCJ5IkrWIhkkZAnsNRDx/KCkaz7+Rfsu+U/wsdSZI0gIVIGgH1J1/LTxbGjI+W8sVtrgkdR5K0BguRNMye7J/ICY98CIBPbPmf7DR2TthAkqRnsBBJw+xTc2o8smJzXjD2QU6admPoOJKktbAQScPod4t34uLH9gHgkm2uZtyoFYETSZLWxkIkDZOVecSRDx3GSvqoTrmVf538u9CRJEnrYCGShslX5r2B2xbvwiajFvP5bf49dBxJ0npYiKRh8PiKScx45EAAPr3VN9huzGOBE0mS1sdCJA2Dj8/+AHP7p7LbuPv46BZp6DiSpGdhIZJa7JeLXsBVT/wrAJdteyVjov7AiSRJz8ZCJLVQfz6KIx46nJxRHLDpT3jtJneGjiRJ2gAWIqmFrnz8LfxmyfOZOmoh52/9ldBxJEkbyEIktcjsFVP5+OwPAHDW9JlMH/1k4ESSpA1lIZJa5ORHPsiTKzfhZePv5fDNvxc6jiRpI1iIpBb4+cJd+eq8NxCxksu2vYK+aGXoSJKkjWAhkoZoed7HkQ8dBsDBm/2Qf554T+BEkqSNZSGShujix/6NO5buwBZ98zl7+tdCx5EkDYKFSBqCB5dvzqfm1AA4d/pX2WL0U4ETSZIGw0IkDcHxD3+YBSsn8C8T7uKgzX4UOo4kaZAsRNIg/XBBzPXz92IU/Vy27ZWMivLQkSRJg2QhkgZh6crRHFVOpD5q85vYfcLfAieSJA2FhUgahAvmVvjzsucwffQTnDn966HjSJKGyEIkbaRZy7birEerAFy49ZeZ2rcocCJJ0lBZiKSN9NGHP8LifByv2+QP7D/1Z6HjSJJawEIkbYTvzH8F//XUPzOaFVy6zZVEUehEkqRWGB06gNQpFq0cy7EPHwzA8dP+i13HPxA4kSR1tlq1shWwP/BB4IB6o3lHrVrZE7gC2A34M3BkvdG8dS2v/RhwIjAG+Aowo95oDvp2X88QSRvo7Effw6zl09lu9FxO3/L60HEkqaPVqpXJwH3Ae4Hdy8dGATcAtwE7A78HvryW1+4GXAAcBOwLHA3sM5Q8FiJpA9yzdBvOm/tOAC7a5lom9S0JnEiSOt5iYAegNuCxicDXgXPrjeaDwI+B6Wt57WuBe+qN5vfrjeYvgP8tHxs0L5lJzyLP4eiHD2VZPoa3TPoN75pyW+hIktTOJtWqlSkDxkvrjebSNZ9UbzRXAHNq1cqOAx5bAJwCUKtWRgMHAzPX8jW2BBYMGM8rHxs0zxBJz+I/57+a7y/Yg3HRMi7Z5ionUkvS+t0FPDngz6mDfJ8rgS024vVD2i7AM0TSejzVP56PPfxhAGZMu4Gdxz0SOJEktb1dgIcHjJ9xdujZ1KqV84A3A3vVG835a3nKXGDTAeMpwD0b+3UGshBJ6/GZR9/LgyumsdOYRzhlyxtCx5GkTrBgHSVmg9SqlVOAQ4G3APNr1cqm5XuuqFUrffVGsx/4GXBJrVpJgEeAVwMXDiW0l8ykdbhjyfZcNHdfAC7e9momjFoWOJEk9YSzganA7cAT5Z+9atVKFfg1QL3RvAM4HrgKuAm4pN5ofm8oX9QzRNJa5Dkc9dChrGA0lcm382+Tfx06kiR1pXqjOQuIBozXN1OzMeB5FwEXtSqHZ4iktZg573X8bNFLmBAt5aJtrg0dR5I0zCxE0hrm9W/CiY98CIDTt7qeHcY+GjaQJGnYWYikNZw+e3/m9G/Ki8Y+wAlbfDt0HEnSCLAQSQP8ZvHzuOzxtwJw6bZXMXbUisCJJEkjwUIklVbmEUc+dBgr6eN9U3/GGydloSNJkkaIhUgqXfvEm/jF4hcxedQiLtz6GXsJSpK6mIVIAuaumMwpsw8A4Iyt6mw75onAiSRJI8lCJC1dwQcfOJbH+6fwT+NmccwW/x06kSRphLkwo3rbIwvhnif4Lq8AYJ/Jv2Z0tDJwKEnSSPMMkXrX0hVwz9MvjV0wt8IDy7cIFEiSFIqFSL1r8TNvqe+nj78s3SZAGElSSEO6ZFarVkYDZ1HsSguQAocAWwHXAXsCdwMfrjeaWa1a2Qu4HlgA7FtvNO8eyteXhmTcM7/9++hn53EPBwgjSQppqHOI3k9RgBLgMeAnFOVoL2AhsBtwBnAt8ArgJGAGsANwZK1amQFcDBxabzTzIWaRNs5ji5827KOfK7e9nO3GPBYokCQplCEVonqjeR3FmSBq1cqmwDJgObA38NF6o3l/rVq5Fvh5rVqZSHGJ7gFgDLA1cA5wq2VII27FSvj7U8XHO07lJxzDzuMetgxJUo9qyV1mtWolA3YFfgpcAVxKcVkMYF7597Ty8RspitMFwCvrjeZx63jPccA4YFIrMkpP8/enilI0cTRsN4nXzbsjdCJJUkCtmlS9D/AW4KXAh9bxnLzeaN4MbEFRnvYDbq5VK7Nq1UpaFqCBTgWeBO5qUUapsHQFPLT67BBRFDaPJCm4IRWiWrUS16qVN9cbzQfqjeaPKOYQvQ6YC2xaPm1K+fejAPVGsx+4HDgNOAY4ovz8Pmu8/dnAVGCXoWSUnuG++bASmDIWNh8fOo0kqQ0M9QzRS4EbatXKq2rVym7AvwC/BW4BDqxVK9sDBwG31xvNJQC1amVvYHZ5tqiP4pLaovLjf6g3mkvrjeZ8Vl96k4Zu4XKYvaj4eCfPDkmSCkMtRDOBK4HvAD8r/74UOIFiftKdwB4Ud6IBUG80b6E4MwTFpOqbgO2Am4eYRXp2s54s/t5iAkxZ8yqtJKlXDfUusxw4sfwz0P3AG57lddQbzZkUpUoafvOWwuNLio93nLL+50qSeoorVas35DnMmld8vM0mMHFM0DiSpPZiIVJvmLsYnloOoyLY3rNDkqSnsxCp+63MYdb84uPtJsHYvvU/X5LUcyxE6n6PLIQlK2DMKHjO5NBpJEltyEKk7rZiJdxfnh3afgqM9ltekvRM/nZQd3vwKVi+EiaMhq03CZ1GktSmLETqXsv64YFyXc8dphQTqiVJWgsLkbrXffOLCdWTx8K0CaHTSJLamIVI3WnR8mIyNbhFhyTpWVmI1J1W3Wa/+XiY6hYdkqT1sxCp+8xfCo8tLj7ecWrYLJKkjmAhUnfJc/hbuYHr9ImwiVt0SJKenYVI3eXxJTB/WfGdvYNbdEiSNoyFSN1j4NmhbSfDuNFh80iSOoaFSN1j9iJYvKJYjfq5btEhSdpwFiJ1h/6VcF95dmj7yW7RIUnaKP7WUHd4cAEsWwnj+mCbSaHTSJI6jIVInW95PzzwVPHxjlPdokOStNEsROp89z8F/Xlxi/2WbtEhSdp4FiJ1tsUr4OFyA1e36JAkDZKFSJ3tvichBzYdB5uND51GktShLETqXE8tg0fLLTp2cosOSdLgWYjUmfIcZpW32W85ESaNDZtHktTRLETqTPOWFn8iYEe36JAkDY2FSJ3naVt0TILxbtEhSRoaC5E6z5xFsHA59EVu0SFJagkLkTrLyhzum198/NzJMKYvbB5JUlewEKmzPLQAlvbD2L5iR3tJklrAQqTOsXwl/L08O7TDlOKSmSRJLWAhUud4YD6syGHiaJg+MXQaSVIXsRCpMyxdUexoD8UGrm7RIUlqIQuROsN984stOqaMhc3dokOS1FoWIrW/hcth9qLiYzdwlSQNAwuR2t+qRRinTYAp48JmkSR1JQuR2tu8JfDEErfokCQNKwuR2tfALTq23gQmjAmbR5LUtSxEal9zF8OCcouO7T07JEkaPhYitaeVOcwqzw49Z3KxMrUkScPEQqT29MhCWNIPY0bBdpNCp5EkdTkLkdrPipVwf7lFx/ZToM9vU0nS8PI3jdrPA08V+5ZNGF1MppYkaZhZiNRelvUP2KJjCoxyEUZJ0vCzEKm93De/mFA9eSxsMSF0GklSj7AQqX0sWl5Mpga36JAkjSgLkdrHqtvsNx8PU92iQ5I0cixEag/zl8JjS4qPd5waNoskqedYiBTewC06pk+ETdyiQ5I0sixECu+xJTB/WXFH2Q6eHZIkjTwLkcLKB27RMQnGuUWHJGnkWYgU1iMLYfEKGD0KtpscOo0kqUdZiBRO/8pi3SGA7ScXpUiSpAD8DaRwHlxQbNExrg+2cQNXSVI4FiKFsay/2LMMitvs3aJDkhSQhUhh/P0p6M9h0hjY0i06JElhjW7Fm9SqlZOA44FNgJuBg4AtgOuAPYG7gQ/XG82sVq3sBVwPLAD2rTead7cigzrI4hXw8KoNXN2iQ5IU3pALUa1aeTNwFrAP8DDwQ+CjwO7AQmA34AzgWuAVwEnADGAH4MhatTIDuBg4tN5o5kPNow4w60nIgU3HwWbjQ6eRJKkll8yWATPqjeYP643mHynOBk0H9gZm1hvN+ynK0J61amVi+TUfAB4C+oBzgFstQ70hSrJXMHdxMdjJRRglSe1hyGeI6o3mLcAtALVq5aXAqyjOAB1DcVkMYF759zTgUuBGiiJ1AfDKeqN53JrvW6tWxgHjAG8/6hJRkkXAuQBsNREmjQ0bSJKkUssmVdeqle2A7wAX1hvNX6zjaXm90byZYn7RrsB+wM21amVWrVpJyxK0yqnAk8Bdrcqo4N4KvJ4I2GFK6CySJP1DSwpRrVqZBvwA+DFwWvnwXGDT8uNVv/0eBag3mv3A5eVzjwGOKD+/z4C3PRuYCuzSiowKK0qyPladHdp2EoxvyXx+SZJaYsiFqFatTAK+C9wPnABMrVUrUyguox1Yq1a2p7jr7PZ6o7mkfM3ewOzybFEfxSW1ReXHANQbzaX1RnM+qy+7qbN9APgn4Eme6xYdkqT20oozRO+muHvsXynOCj0BZBTlaDRwJ7AHcMiqF5Tzjo4ph+cANwHbUdyyry4TJdl44MxyeDZj3MBVktReWjGp+jqK9YbW5g3reV1e/j0TmDnUHGprxwDPpbi78EsUJViSpLbhStUaVlGSbQ58vBx+Mk/jxSHzSJK0NhYiDbdTKSbX3wF8NWwUSZLWzkKkYRMl2fasnit2Sp7G/SHzSJK0LhYiDaczKRbXvIXiTkRJktqShUjDIkqylwIHlMOT8zR2axZJUtuyEGm4nANEQCNP41+GDiNJ0vpYiNRyUZK9gWKbjhWsvsNMkqS2ZSFSS0VJNgo4rxxemafxX0LmkSRpQ7ihlFptP+DlFFuufCZwFpWicx9vuzlc+YzNo9AZJGkVzxCpZaIkGwucVQ7Pz9N4Tsg8kiRtKAuRWulw4HnAbODzgbNIkrTBLERqiSjJpgCnl8NP52m8IGQeSZI2hoVIrXIyMA24G7g2cBZJkjaKhUhDFiXZtsDx5fDUPI2Xh8wjSdLG8i4ztcKngQnA/wLNoEkkSR2jVq1sBewPfBA4oN5o3lGrVkZTrGX3IeDueqP5iXW89nTgaGA8cCNwaL3RXDbYLBYiDUmUZC8GPlIO3aJDkrRBatXKZOA+4HfA7gM+9R/AHsAUYNY6Xrs7xdIuSfkePwf+B7hmsHm8ZKahOpvi++jbeRrfGjqMJKljLAZ2AGprPH5cvdF8IXDXel676h/f9wF/B5ZS7I4waJ4h0qBFSfYa4B3ASuDUwHEkSe1hUq1amTJgvLTeaC5d80n1RnMFMKdWrey4xuMPP9sXqDeav69VK5cAv6f4HfQz4LqhhPYMkQYlSrIIOL8cXpun8Z9C5pEktY27gCcH/Gn5P5hr1crLgIOBKvBG4KXA+4bynp4h0mBVgH+hOOX56aBJJEntZBdg4FmeZ5wdaoE3AX+tN5o3ANSqlR8BbwPqg31DC5E2WpRkoynmDgF8Pk/jh0LmkSS1lQX1RnP+cLxxrVrpqzea/cCdwPNr1crrgDnAq4FLh/LeXjLTYHwEeBEwl9U720uSNGxq1UoV+DVAvdFMKaZtfJNiyZcfARcN5f09Q6SNEiXZJqy+RHZmnsbD8q8A9YBTntd+SzSc89codASp19QbzVnAM/6/V280X7fGuAE0BoxPZ/WWUUPmGSJtrOOBrYG/AlcEziJJUktYiLTBoiTbimLPMoBP5Gk86BVBJUlqJxYibYzTgUkU13CvD5xFkqSWsRBpg0RJtjNweDk8OU/jlSHzSJLUShYibaizKCbh35yn8Y9Dh5EkqZUsRHpWUZK9AtiPYu+YGYHjSJLUchYirVe5RceqtYa+lqdxFjKPJEnDwUKkZ/M24HUUS6+3bL0HSZLaiYVI6xQlWR9wbjm8OE/j+0PmkSRpuFiItD4HAC8B5rF67zJJkrqOhUhrFSXZBODMcvi5PI0fD5lHkqThZCHSuhwDbAf8Hbg4cBZJkoaVhUjPECXZ5sCp5fD0PI2XhMwjSdJwsxBpbT4ObAr8AZgZNookScPPQqSniZJsB4rLZQAz8jTuD5lHkqSRYCHSms4ExgI/AW4OnEWSpBFhIdI/REn2UuAD5fDkPI3zkHkkSRopFiINdC4QAd/M0/hXocNIkjRSLEQCIEqyNwJvAZYDnwgcR5KkEWUhElGSjWL1Bq5X5Gl8b8g8kiSNNAuRAN4LvAx4itWrU0uS1DMsRD0uSrJxwFnl8Lw8jR8NmUeSpBAsRDoc2Al4GPhC4CySJAVhIephUZJNBU4vh5/O03hhyDySJIViIeptJwNbAHcB/x44iyRJwViIelSUZM8BPlYOT83TeEXIPJIkhWQh6l2fBiYA/wt8O2wUSZLCshD1oCjJdgU+XA5PcosOSVKvsxD1prMp/rdv5mn8v6HDSJIUmoWox0RJthfwdqAfODVwHEmS2oKFqIdESRYB55fDa/M0vitkHkmS2sXoVrxJrVrZCtgf+CBwQL3RvKNWrWwPXAfsCdwNfLjeaGa1amUv4HpgAbBvvdG8uxUZtEHeCbwKWEQxqVqSJNGCM0S1amUycB/Ffli7D/jUBcBCYDfgD8C15eMnATOArwJH1qqV8bVq5epatRINNYvWLUqyMRRzhwA+n6fxwyHzSJLUTlpxyWwxsANQW+PxvYGZ9UbzfooytGetWplYfs0HgIeAPuAc4NZ6o+mdTsPrI8ALgbmsvmwmSZJowSWzeqO5AphTq1Z2XONTW1JcFgOYV/49DbgUuBFYRnEW6ZX1RvO4Nd+3Vq2MA8YBk4aasddFSTaJ1ZfIPpOn8fyAcSRJajsjPak6rzeaN1NsF7ErsB9wc61amVWrVtKyBK1yKvAkxbYSGprjgenAvcCVgbNIktR2hrMQzQU2LT+eUv79KEC90ewHLgdOA44Bjig/v8+A158NTAV2GcaMXS9Ksq0o5m0BfCJP42Uh80iS1I6GsxDdAhxY3m12EHB7vdFcAlCrVvYGZpdni/ooLqktKj8GoN5oLq03mvNZfdlNg/NJisuOvwIagbNIktSWhrMQnUAxR+lOYA/gkFWfqDeat1CcGYJiUvVNwHbAzcOYp+dESfYC4LByeHKexitD5pEkqV21ZB0igHqjOQuIBozvB96wnufn5d8zgZmtyqGnOYvif+Ob8jT+SegwkiS1K1eq7lJRkr0SqAI5cErgOJIktTULURcqt+g4rxx+NU/jLGQeSZLanYWoO+1DsTDmUopJ1ZIkaT0sRF0mSrJVq38DfClP4/tD5pEkqRNYiLrPgcBLgCdYvXeZJElaDwtRF4mSbALwmXL4uTyNnwiZR5KkTmEh6i7HUqzndD9wSeAskiR1DAtRl4iSbAuK/d8ATs/TeEnIPJIkdZKWLczYqaJzH89DZ1hTPmPz6Nmf9Qwfp9j7LQP+o7WJJEnqbp4h6gJRku0IHF0OZ+Rp3B8wjiRJHcdC1B3OBMYCPwa+FziLJEkdp+cvmbWlU563wZfxfrd4JyIuJGcUv3r+CW94+YR7Vw7LRh3n/HUwl/EkSeoIniHqcDNmH0jOKN439We8fMK9oeNIktSRLEQd7IcLYr6/YA/GRMs5a7rzqCVJGiwLUYdamUec/MgHAThi85t53tjZgRNJktS5LEQd6htP/j9+u+T5TB61iNO2bISOI0lSR7MQdaClK0fzidnvB2DGtBvYcvT8wIkkSepsFqIOdPnjb2PW8ulsM/pxjpv2ndBxJEnqeBaiDvNk/0Q++2gVgDO2qrPJqKWBE0mS1PksRB3m3EffxWP9U9hl3N85aLMfhY4jSVJXsBB1kAeXb85Fj+0LwDnTv8boaGXgRJIkdQcLUQf51Jwai/NxvGbinbx98i9Dx5EkqWtYiDrEnUu248tPvAGA87a+jsiNNCRJahkLUYc4ZfaBrKSPd065jVdPvDt0HEmSuoqFqAP8fOGufOepV9JHP2dP/1roOJIkdR13u29zeQ4nP3IgAAdv9gNeNO6hwIkkbYjo3Mfz0BnWlM/Y3Ivt0jp4hqjN3TD/X7h98S5MjJbwqa2+GTqOJEldyULUxpbnfZw6+wMAnDDt22wz5onAiSRJ6k4WojZ2zeNv5p5lz2HLvnmcNO3G0HEkSepaFqI2taB/PGc8+l4APrnV9UzuWxI4kSRJ3ctC1KYufOwdzF6xGc8f+zCHbvb90HEkSepqFqI2NHvFVM6fWwHgc9NnMnbUirCBJEnqchaidrN0BYc9eAQLV07gFRP+THXKraETSZLU9VyHqJ08shDueYJv8yoA9p74R7fokCRpBHiGqF0sXQH3PP22+i889nYeWL5FoECSJPUOzxC1i8XPnCfUTx9/WboN2415LEAgSV3nlOe13erZAJzzV8+FKzjPELWLCc/spn30s/O4hwOEkSSpt1iI2sW40fCCzf4x7KOfK7e93LNDkiSNAC+ZtZOtN4HNxvGTOQez87iHLUOSJI0QC1G7GTea1026I3QKSZJ6ipfMJElSz7MQSZKknmchkiRJPc9CJEmSep6FSJIk9TwLkSRJ6nkWIkmS1PMsRJIkqedZiCRJUs+zEEmSpJ5nIZIkST3PQiRJknqehUiSJPW8Yd3tvlatvBc4G9gMuBE4Ajiz/Ps7wPvrjWY+nBkkSZKezbCdIapVK1sAX6YoQK8B3gqcCNSAfwZeCOxeq1ZeW6tWDh2uHJIkSc9mOC+ZvRKIgK/UG807ge8CrwMWA7OA+cDmwAVAcxhzSJIkrddwXjLbElg44JLYPOB5wC3Ak8CPgYOBz9YbzTlrvrhWrYwDxgGTyoem16qVloccH1/Q8vccqsdWDOuVzEE5ulp5Tqvey2O+YTzmI89jHkYrj7uCmh46wFBEeT48U3hq1cqBwOfrjea0cnwBsEe90XxjrVoZA7wbeCPQB7wZ+Fy90bx8wOs/DXxqWMJJkqTh8vJ6o/mb0CE21nD+c2EuMLlWrYyqN5orgSnAqjNBWwMnAMcDn6eYV9QALh/w+rPLzwG8GHhgI772JOAuYBdgwWD/A7qYx2f9PD7r5rFZP4/P+nl81q1bjs104LehQwzGcBaiXwL9wGG1auUnwNuAz5af+yRwDLACWAY8RjHf6B/qjeZSYGk5/MXGfOFatTKl/PDheqM5f1Dpu5jHZ/08PuvmsVk/j8/6eXzWrYuOzYOhAwzWsE2qrjeac4GDgJOB24DvA18pP31ovdG8HfgNMJuiPH2phV9+KXAGqwuVns7js34en3Xz2Kyfx2f9PD7r5rEJbNjmEEmSJHUKV6qWJEk9rz3vwdwItWrlJIrJ2ZsANwMH1RvNhQM+vxnw7xR3tD0IHFlvNH8SImsotWqlAbyn3mhGazze08emVq30AadSXNr9U73RTNb4fK8fn4Mp7vTcjGKZjAPrjea8AZ/vueNTq1a2AvYHPggcUG8076hVK9sD1wF7AncDH643mtlaXvsxisVpx1BMH5jRTSv1r+PY7AlcAewG/Jnie+TWtby2q48NrP34DPjcPsB/U/z++spaXtv1x6cddPQZolq18mbgLOAA4F+A/wd8dI2nnQo8F3gp8C1gZq1aGTuSOUOqVStvB965jk/39LEBLgKOovhBc+BaPt+zx6dcaf5Kiv9/xRR3ep64xtN66vjUqpXJwH3Ae4HdB3zqAmAhxS/9PwDXruW1u5XPOwjYFzga2Gd4E4+ctR2bWrUyCriBYg7pzsDvKXYvWPO1XX1sYL3fO9SqlUkUd1ivXMdru/74tIuOLkQUd6jNqDeaP6w3mn+k+NfZmgtD7Q38Z73R/BvFv1S2BZ4/sjHDKO9auBS4eB1P6eVjMx04HDi83mjeWG80H1/L03r2+FDc9dlPsdzFgxS/8Fes8ZxeOz6LgR0olgkZaG9gZr3RvJ+iDO1Zq1YmrvGc1wL31BvN79cbzV8A/1s+1i3WdmwmAl8Hzq03mg9SnGVc28J93X5sYN3fO1AsMXML8MQ6XtsLx6ctdPQls3qjeQvFNxK1auWlwKuAGWs8bUtWr+kwb8BjfxqBiKGdC/wA+BFw3Fo+38vH5pUUi4LuV6tWLgHuAA6pN5oD17vq2eNTbzTn1qqVUyk2YV4G3Aucs8bTeur41BvNFcCcWrWy4xqfWttxmAbcv47nrHreli0PGcjajk290VwAnAJQq1ZGU+xMMHMtL+/qYwPr/t6pVSuvAqoUZxfXddan649Pu+j0M0QA1KqV7Sh+cF9YNuhn0/XXXmvVyl5AhWde5ng2XX9sSptR/LfeCryd4l+u52/A63ri+NSKrRQ+RXFJ8TUUcxc+tgEv7YnjswE25Dj00rG6EtiC4jLrhuj6Y1NeXr4GOKHeaD62kS/v+uMTQscXolq1Mo3iLMiPgdPW8pS5wKblx6sWvnrG3mld6DSKH0B/Bb4BUKtW5q3xnF49NlD8dy6uN5qX1RvN31Ico3iN5/Ty8XkN0Fcen19RzAV52xrP6eXjM9DajsOj63nOquf1xLGqVSvnUWzP9JZ1LDjYq8fmXRRnhi4tfzZvDlxWq1b2X+N5vXp8RlxHF6JyMtp3KU5NnwBMrVUrU8q7h1a5heKyyPOAQynmRNw74mFH3oeAF1JM4Du2fGx3j80/3AYsrVUrR5ensSvAbzw+/3AXMKFWrexXq1Z2oviFdqfHZ61uAQ4s7zY7CLi93mgugX/cyQjwM+B5tWolKe+8ejXw0xBhR1KtWjmF4nujCsyvVSublpfPev7YACmwE8XP6N0pLoV9Evgv8PiE0NGFiGKD2FcA/0rRop8AMuDGWrVyfPmcz1H8kP4dsB/wgfJ6blerN5qP1BvNWfVGcxblvybKj3v+2ADUG80nKb5/Dqe4M+gxilLt8QHK28aPBi6k+P/U3ynOOnp8nukEivmYdwJ7AIcA1KqVKvBrgPIW6+OBq4CbgEvqjeb3gqQdWWcDU4HbKX4+PwHs5bEp5lit+hld/mxeCcytN5oLPD5huFK1JEnqeZ1+hkiSJGnILESSJKnnWYgkSVLPsxBJkqSeZyGSJEk9z0IkSZJ6noVIkiT1PAuRJEnqeRYiSZLU8yxEkiSp51mIJElSz7MQSZKknmchkiRJPc9CJEmSep6FSJIk9TwLkSRJ6nn/H4JW1MI2hX3hAAAAAElFTkSuQmCC);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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QH4aO1qEFqqrLLbAVm+n0b5gfuubSKEhEZK8eL9gdOQgsxNsIjA46/BPzbGN7nckyWuGCoJ5SKBRfwgU/5QfjMGM6xTdWBqFQsnAD8J3AipjXhJuBTmGbJDZhBUV8CrgCOAM4FzsM0k320VCycB1wGnOkHoUb7p8zxonb6F2V8Ni67vY4XvYDpMkt2hBYRaTbn2NtyXHYfS7OQHDiQ/t4FgO1ah3akVCx8BTgBONYPwnVDPGc/4LfAN/wgrLoLtBYtRFuA8/wgvAmgVCw8imlJOB6b2ErFwhXA7aViYRKmpWEJMA7zC/Yi4A6FocyYA7QDvfQPqF6KCUQaRyQiTcfxop2AD9jDS1MsJS+6hgoxI1EqFs4HzsQMmF5XKhZm2PfsKRUL7X4Q9paKhd2A3wM3AF+zz+mxXW5jUnUg8oPwVuBWgFKxcAjwGkwL0Ccw3WIAa+ztLODbwHWYIHUJcKQfhOcMfN9SsdAJdAJTqq1RRiXpLns+LrvJ9EUNrBaRZpYsxPgX7O8rybQL7e3dFY+9vlQs7AJ8HtMDdSawj/36oH3OrZiB82NSs0HVpWJhT+B64Kt+EN5TKhYGe1rsB+GNpWJhZ2AmZrzR90rFwiLgIeDkioFXFwD/Wqv6ZMQqB1QnFIhEpCk5XjSe/oUYv6aFGLPHD8JFmLWEkmNn6GebtaP8IPwSZjhOzdRk2n2pWJiFabq6GfiCffhFYIa9n4w2XwFgF076rn3uJ4Cz7fdPrHjbC4HpmL5IaZzKKfcJBSIRaVbvxnx2LcUs3icyqKoDUalYmAL8BngG+Cww3U63uxV4f6lYeDmmOetuPwg329ccD7zgB+GNmPEqazDrQrQn7+sHYbftgxxzf6CMSeUMs4QCkYg0HbsQ42fs4be0EKMMpxYtRCdjZo+9GdMqtBqIMOGoA3gYOBT4cPICO+4oacK8CDMoak9MF5qkS11mItIqjsP8/tmEmcItMqRaDKr+CWa9ocG8YZjXxfb2KgZZdElSoxYiEWkVSevQj+OyuzLVSiTztHWHDDTcGKI5tglaRCTTHC+ah1mIEbQQo4yAApFs43hRB7C7PazsMkvWIxqHWTVURCTrPoWZuVSOy652RJAdUiCSSnMwPxM9wAvJg3YgYtLcrG4zEck0uxBjsjaNFmKUEVEgkkpJd9lzFYsyJjSOSESaxZmYXdMfABamW4o0CwUiqTTYDLOEApGIZJ7jRftgZjkDXKqFGGWkFIik0mAzzBIKRCKSaY4XnQ48idkmCmBCiuVIk1EgkkqDzTBLKBCJSGY5XrQn8H0qtoAAvmMfF9khBSKppC4zEWlW89j+d1o7MDeFWqQJKRBJJXWZiUizehwYOF6oF3gihVqkCSkQSSW1EIlIU4rL7hJeOqOsFzjLPi6yQwpEAoDjRePoDzvDthBptWoRyag97O0XgL3jsntFmsVIc1EgksRumMGIW4Hlg3w/Wa16EjC1UUWJiIyE40UvA/YH+jA726tlSEZFgUgSlYsy9g38Zlx2u4Aue6huMxHJmjfa23vjsrs21UqkKSkQSWK4AdUJjSMSkaxKAtFNqVYhTUuBSBLDrUGUUCASkcyx4xrfZA//kGYt0rwUiCQx3AyzRBKI5tS5FhGR0Xgl5nNpE3BXyrVIk1IgkoS6zESkWSXdZX+My+7mVCuRpqVAJAl1mYlIs0q6yzR+SMZMgUgSo+kyUyASkUxwvKgDWGAPFYhkzBSIBMeLxgOz7aFaiESkmRyBWRttFfDXdEuRZqZAJAC7YxZl3AK8OMzzFIhEJGuS8UM3D7aGmshIKRAJ9A+oXrKDD5QkEM10vGhCnWsSERkJTbeXmlAgEhjZgGqA1UC3va+p9yKSKseLJgPH2EONH5KqKBAJjGxANXHZjenf00zdZiKStmOBccAzwJMp1yJNToFIYGRrECU0jkhEsmLbdHv7B5vImCkQCYy8ywwUiEQkO7R/mdSMApHACLvMLAUiEUmd40WzgEPt4c1p1iKtQYFIQF1mItJ8Xm9vH4zL7gupViItQYEo5xwv6mRkizImFIhEJAs03V5qSoFI9rC3m4GVI3i+ApGIZIH2L5OaUiCSykUZRzJLQ4FIRFLleNE+wL5AD3BbyuVIi1AgktEMqIb+QLSr3VRRRKTRktll98Rld32qlUjLUCCS0QyoBlgB9GH2Ptu1LhWJiAxP0+2l5hSIZDRrEBGX3V4gmdGhbjMRaSjHi9roD0QaUC01o0Ako+0yA40jEpH0HAzsAmwA7km5FmkhCkQy2i4zUCASkfQks8tui8vullQrkZaiQCSj6jKzFIhEJC2abi91oUCUY44XTcA0PcPousy0472INJzjReOB4+yhxg9JTSkQ5VuyKOMmYNUoXqcWIhFJw1HAZMxs1wdTrkVajAJRvm3rLhvhooyJJBDNqXE9IiLD2Ta7LC67falWIi1HgSjfxjLDDNRCJCLp0P5lUjcKRPk2lhlmUNFC5HiRU8N6REQG5XjRVEyXGWhAtdSBAlG+jbWFKBlUPR7YqXbliIgM6TigA3gqLruLUq5FWpACUb6NqYUoLrvd9A/CVreZiDSCpttLXSkQ5dtY1iBKaByRiDSStuuQulIgyrexdpmBApGINIjjRbOBV9nDm9OsRVqXAlFOOV40EdjZHqqFSESy7A329i9x2X0x1UqkZSkQ5VcyfmgDsGYMr1cgEpFG0XR7qTsFovza1l02ykUZEwpEIlJ3dmkPDaiWulMgyq+xrkGUUCASkUbYD3g5sBX4Y8q1SAvrSLsASU01M8xAgUhEGiNpHbozLrsbUq1Eaq5ULOwKnAKcBpzqB+FDpWLhcOB7wEHAY8BH/SC8Y5DX7gWcal97qB+EXdXUohai/KpmhhkoEIlIY2i6fYsqFQtTgcXAe4D59rE24FrgLmAu8ABw5SCvfSXwd+Dt9nlVUyDKr1p1mU22S+qLiNSU40Vt9M8w0/ih1rMJ2AsoVTw2CbgGuNgPwucwyyzMHuS1izF/kJ9bq2LUZZZfVXWZxWW3y/GiLmAK5odyfa0KExGx5mO2B1oP3JtuKTIKU0rFwrSK424/CLsHPskPwh5gealY2LvisS7gfIBSsdABnAFcNchrN9jn1KxotRDlV9JCNNYuM1C3mYjUVzJ+aGFcdntSrURG4xFgbcXXBWN8n8sx6+WN9fWjohaiHHK8aBL9m7KOtcsMTCCahwKRiNRHMn5I3WXN5UD6/2AG2K51aEdKxcJXgBOAY/0gXFerwoajQJRPSXdZF1DND5paiESkLhwvmgC8zh5qQHVz6aomxJSKhfOBM4G3AOtKxcIM+549pWKh3Q/C3hrV+RLqMsunbQOqx7goY0KBSETq5WhgIrAMeDjlWqSxLgSmA3cDq+3XsaVioQjcX6+TqoUon6pdgyihQCQi9bJtun2Vf7hJxvlBuAhwKo6doZ9NMOC1CytfWw21EOVTtWsQJRSIRKRetF2HNJQCUT5VuwZRQoFIRGrO8aLpwBH2UOOHpCEUiPJJXWYikmULML+fHovLbrWfUyIjokCUT7XqMltmb2faGSEiIrWg7jJpOAWifKpVl9kqYIu9P9jS6iIiY6H9y6ThFIhyxvGiKcAMe1hVILIzP5JWInWbiUjVHC/aA3gFEAO3pFyO5IgCUf4krUPr4rJbi/3HNI5IRGop2cz1vrjsrk61EskVBaL8qdWA6oQCkYjUUjJ+SN1l0lAKRPlTqwHVCQUiEakJx4sctH+ZpESBKH9qNaA6oUAkIrVyALAHZjPQO1OuRXJGgSh/1GUmIlmVdJf9MS67m1KtRHJHgSh/1GUmIlml6faSGgWi/FGXmYhkjuNFHcDr7aHGD0nDKRDlT726zHZ1vKi9Ru8pIvlzGDAdWAP8Od1SJI8UiHLE8aJpwDR7WKsus+VAH+ZnadcavaeI5E8yfuiWuOz2plqJ5JICUb4k3WVr4rLbVYs3tB9cy+2hus1EZKw03V5SpUCUL7XuLktoHJGIjJnjRZOAY+2hBlRLKhSI8iVpIapVd1lCgUhEqvFaYDzms+mxlGuRnFIgyhe1EIlIFm2bbm83jRZpOAWifKn1GkQJBSIRqUYyoFrjhyQ1CkT5Uus1iBIKRCIyJo4X7YSZcg8aPyQpUiDKF3WZiUjWvB5wgIfjsrt0R08WqZeOWrxJqVjYFTgFOA041Q/Ch0rFQgm4puJpK/0gnFUqFo4FfgF0ASf5QfhoLWqQ4dldpNVlJiJZo+n2kglVB6JSsTAVWAz8FZhf8a3dgDsAzx732dtzgfOAvYCPloqF84DLgDP9INRguvqZBkyx9+vVQjTH8SJHgyJFZBSS8UPqLpNU1aKFaBMm3EwCnq54fDfgOT8I1wx4fhumhWIcMAe4CLhDYajuktahVXHZ3Vjj915mb8cDOwEra/z+ItKCHC96OTAP6AVuTbkcybmqA5EfhD3A8lKxsPeAb+0OHF0qFpYAK4Bz/SC8Cfg2cB2wBbgEONIPwnMGvm+pWOgEOulv1ZDq1Ku7jLjsdjtetAoThnZDgUhERibpLrs3LrtrU61Ecq+eg6p/APw78GbgbuDnpWJhvB+ENwI7A68E3g3cWCoWFpWKhbINQYkLgLXAI3WsMU/qNcMsoXFEIjJamm4vmVHPQPQocLUfhA9jxgjtBOwB4AdhL/Bd4AvAJ4Cz7WtOrHj9hZidjw+sY415Uq8ZZolt44jq9P4i0kLsRA8NqJbMqGcg+jXws1KxsDtmBtoq4DmAUrFwPPCCbS1qB9YAG+19APwg7PaDcB1mNppUr17bdiSScURqIRKRkTgImI0Zh3p3yrWI1DUQnYFpEXoCKABFPwi3APhBeCumZQjMoOobML+wb6xjPXnXqBYiBSIRGYmkdei2uOx2p1qJCDVahwjAD8JFmMW1kuMHgKOHeX5sb68CrqpVHTKkug2qthSIRGQ0NN1eMkUrVeeA7avXoGoRyQTHi8YBC+yhxg9JJigQ5cMMYLK9rxYiEUnbEZglVVYCD6RciwigQJQXSXfZyrjsbqrTORSIRGSkku6ym+Oy2zfsM0UaRIEoH+rdXQb9gWiK40VaTFNEhqPp9pI5CkT5UO8ZZsRldz2wwR6qlUhEBuV40WT6J9xoQLVkhgJRPtR7hllC3WYisiOvw+xluQh4Kt1SRPopEOVDI7rMQIFIRHZs23T7uOxqU2/JDAWifKh7l5mlQCQiO6L9yySTFIjyod7bdiQUiERkSI4X7QIcYg9vTrMWkYEUiFqcXZRRLUQikgVvsLdRXHaXp1qJyAAKRK1vJ2Civf9cnc+lQCQiw9F0e8ksBaLWl3SXrYjL7uY6n0uBSESGo/3LJLMUiFpfo7rLQIFIRIbgeNG+wD5AD3BbyuWIbEeBqPU1ag0i6A9EOzle1NmA84lI80i6y+6Oy25XqpWIDEKBqPU1ag0igFXAFnt/TgPOJyLNQ9PtJdMUiFpfw7rM7CJry+yhus1EBADHi9ron2Gm8UOSSQpEra+RXWagcUQisj0XmAV0AfekXIvIoBSIWl8ju8xAgUhEtpeMH7o1LrtbU61EZAgKRC3MLsqoQCQiadN0e8k8BaLWtjMwwd5/vkHnVCASkW0cLxoPHGcPNaBaMkuBqLUl44deiMtud4POmQQizTITEYDXAJOA5cBDKdciMiQFotbWyEUZE5plJiKVtnWX2ZmoIpnUkXYBUleN2uW+krrMRKRSMqBa44dkO6ViYVfgFOA04FQ/CB8qFQuHA98DDgIeAz7qB+Edg7z208DngHHAj4Hz/CAcc+hWC1FrS6OFKAlEsx0vam/geUUkYxwvmgYcZQ81fkheolQsTAUWA+8B5tvH2oBrgbuAucADwJWDvPYg4BLgg8BJwMeBE6upR4GotTV6DSIw4wRizM/WLg08r4hkz3FAO/BEXHYXp12MZM4mYC+gVPHYJOAa4GI/CJ8DbgZmD/La44DH/SD8nR+E9wB30j94f0zUZdbaGj3lnrjs9jhetBzzA7wb/WOKRCR/NN0+n6aUioVpFcfdfhBuN7HHD8IeYHmpWNi74rEu4HyAUrHQAZwBXDXIOXbBLPSZWEOVf4Srhai1pdFlBhpHJCKG9i/Lp0eAtRVfF4zxfS7HLB8z0tdXNWhfLUQtasCijI3sMgMTiOajQCSSW44XzcEMio2BW1IuRxrrQPr/MAYY9bIvpWLhK8AJwLF+EK4b5CkvAjMqjqcBj4/2PJUUiFrXLsB4zIfRcw0+t1qIRKRobx+Ky+7KVCuRRusaIsSMSKlYOB84E3gLsK5ULMyw79lTKhba/SDsBW4DvlUqFjzM0IxjgK9WU7S6zFpX0l22LIW9gxSIRHLM8aLTgW/Yw4PtschIXQhMB+4GVtuvY0vFQhG4H8APwoeAzwDfB24AvuUH4W+rOalaiEbB8aI9gXnA43HZbXQ31Gil1V0GCkQiuWU/J78POMlDwOWOF/22CT43JQV+EC6i/+cFPwidoZ9NUPG8rwNfr1UdaiEaIfsXzmLMFMDFTfAXT1oDqkGBSCTP5rH975Z2zJoyIpmlQDQCFX/xJNerDfMXz55Dvyp1CkQikobH2X62Ty/wRAq1iIyYusxGZri/eLLaBJyJLjPHixztXyRSW87Fq0b1byo+b6fhuiBqbSmwDjMGBEwYOkvdZZJ1CkQj8zjQx0tDUdb/4kmzhShZjHE8MBNYlUINIpKO4zFhaA1mptkjCkPSDNRlNgL2H/OZ9DcDx2T/L540tu0AIC67mzGzAkDdZiJ58z57+4u47N6U8c9JkW0UiEYoLrtXAP9sD++1x5nkeFEbsIc9TKOFCDSOSCR3HC+aAJxsD69JsxaR0VIgGp3r7O2hjhdNSrWS4e0KjMN08y3dwXPrRYFIJH/ehukuWwLcnnItIqOiQDQ6T2FaXMZhVsXMqmRAdRqLMiYUiETyJ+ku8+Oy25dqJSKjpEA0Cna21EJ7+PoUS9mRNAdUJxSIRHLE8aLpgGcP1V0mTUeBaPSSTQoXpFnEDigQiUijvQPoBP4OPJByLSKjpkA0ekkgOtLxoimpVjK0NNcgSigQieRL0l12tdYek2akQDRKcdldhNnCowN4bbrVDEktRCLSMI4X7Qa8wR76adYiMlYKRGOT9W4zBSIRaaR3Y36f3B2X3afSLkZkLBSIxmahvc3qwOosdZlNyXDXoojUxin29upUqxCpgrbuGJuF9vZwx4umxmV3fZrFVHK8qJ30F2UkLrvrHS/aAEwG5pDtbU5EZIwcL5oHHInZzihIuZx0nb/v6MZOXfRUI/eYkx1QC9EYxGV3MfA0ZoPXY1MuZ6DZmKDbR/+eYmlJzq9uM5HWVbK3N8Vl94VUKxGpggLR2CXjiLLWbZZ0lz0fl92eVCvROCKRluZ4kYO6y6RFKBCNXVYHVmdhQHVCgUiktR0GHABsBsJ0SxGpjgLR2C20t6+2K7RmRRYGVCcUiERaW9I69OssjaUUGQsFojGKy+4SzEDhNrI1jkgtRCJSd3YCx3vtobrLpOlplll1FgJzMeOI/i/dUrZRIBLJqtaahXQ8sDuwGrgx5VpEqqYWoupkcWC1usxEpBGS7rJfxmV3S6qViNSAAlF1FtrbQx0vmpFiHZXUQiQideV4USfwLnuone2lJSgQVSEuu88DjwEOcFzK5SR9+rvbwywFop0dLxqfaiUiUksnAtOB54DbUq5FpCYUiKqXpen3czCLRfYAWVggbSWw1d6fk2YhIlJTSXeZH5fdvlQrEakRDaqu3kLgLLIxjijpLns+Lru9qVYCxGU3drxoGaau3YBnUi5JRKrkeNE04CR72NLdZc7Fq0Y1CH50I+YlaxSIqrfQ3h7ieNFOcdldlWItSSDKwoDqxFL6A5GIpKG2s9veAXQCfwf+OvaiRLJFXWZVisvuMuARsjGOKJlhloXxQwkNrBZpLe+zt9fEZVeNItIyFIhqIyvT77M0wyyhQCTSIhwvmgO80R76adYiUmsKRLWRlYHVWVqDKKFAJNI63o35vXF3XHafTLsYkVrSGKLauNXeuo4XzYrL7osp1aEWIpEGyuGg223dZalWIVIHaiGqgbjsLgf+Zg/THEekQCQideF40VzgSKAX+EXK5YjUnAJR7Sy0t6mMI3K8qIP+0KEuMxGptZK9vSkuu1lY50ykphSIaiftgdW7Yf5/biUbizImkkA0266kLSJNxvEiB3WXSYtTIKqdZBzRQY4X7ZrC+ZPusucytnLscszQiTZgl5RrEZGxORQ4ANgMhOmWIlIfCkQ1YgdSP2gPj0+hhCzOMCMuuz2YUATqNhNpVslWHdfHZXddqpWI1IkCUW2lOf0+iwOqExpHJNKkbFd3Mn7o6jRrEaknBaLaWmhv0xhHlMVtOxJJINIGryLN5zhgd2ANcGO6pYjUjwJRbd2KGS/zCruiayNlcduOhFqIRJpX0l32y7jsdqdaiUgdKRDVkN3Y9QF72OhxROoyE5GacryoE3iXPVR3mbQ0BaLaW2hvG91tlslB1dYye6tAJNJc3gbMAJ4Dbk+3FJH6UiCqvYYPrHa8aBz9YUMtRCJSK0l32f/EZbc31UpE6kyBqPZux4wjOsDxot0bdM7dAQfYAqxo0DlHQ4FIpMk4XjQNOMkeqrtMWp4CUY3FZXc18Bd7uKBBp026y7K2KGNiWyCyK96KSPa9A5gAPAL8Nd1SROpPgag+FtrbBQ06X5YHVEN/IOrEjEcQkexLusuuictunGolIg2gQFQfjd7XLNOBKC67mzFrmIC6zUQyz/Gi2cCb7KH2LpNcUCCqj9uBPmCu40V77ujJNZDlGWYJjSMSaR7vwfx+uCcuu0+mXYxIIygQ1UFcdtcCf7aHCxpwyky3EFkKRCLNY1t3WapViDSQAlH9NLLbTIFIRGriye45AEdhWrl/kW41Io2jQFQ/C+3tggacS11mIlIT16w9Lrl7U1x2lw33XJFWokBUP7cDvcC+jhe9vF4ncbxoPDDbHqqFSETGLI7h6jXbApG6yyRXOmrxJqViYVdMn/NpwKl+ED5UKhZeDvwEOBx4FPiQH4RRqVg4FtMM2wWc5Afho7WoIWvisrve8aL7ME3PC4Cf1ulUyaKM3cCLdTpHLSgQiWTcXzfvw6Nb9gTYDFyXcjkiDVV1C1GpWJgKLMbMSphf8a1LgA3AQcCDwBX28XOB8zAB4aOlYmFCqVj4QalYaMUF+xba23qOI0rGDy3J+FohCkQiGXf1mm17Ul8fl911adYi0mi1aCHaBOwFTAKernj8eOBTfhA+UyoWrgBuLxULkzAhbAkwDpgDXATc4Qdhln+Zj9UtmPDXiECU5e4yUCASybTeuA1/7euSQ3WXSUMM0cPUAbwV+ADwqB+Enx/kdW3AV4EPAauBC/wg9KuppeoWIj8Ie/wgXD7It3bBdItB/6J8s4BvY5piLwKeAfb0g/DHA19cKhY6S8XCNGBKtTWm6A6gB9jL8aK963SOZhhQDf2BaKrjRZNTrUREtnP7hlfyfM/OzGjrArgh7Xqk9Q3Tw3Q1cClwLGaHg8GchglMbwA+Dfy4VCzsXU09jR5UHftBeCOwM/BK4N3AjaViYVGpWCiXioXK//ALgLWYfXSaUlx2u4B77WG9WomapYVoPbDR3lcrkUjGXG1nl71r+p3EZbc75XIkH5IeptKAx8/xg3B/hv/9fxSmd+l+PwivA54C3lxNMfUMRC/Sv2/VNHu7AsAPwl7gu8AXgE8AZ9vvn1jx+guB6cCBdayxERba2wV1ev+mCER2fJO6zUQyqLuvg1+uPQaAU6bflnI10gKmlIqFaRVfg7byDNXD5Afh0sGeP8DTwGGlYmGXUrEwD9MDtWs1RdczEN0KvN/ONvsgcLcfhJsBSsXC8cALtrWoHdOlttHeB8APwm4/CNfR3+3WrLYt0Finnd6bpcsMFIhEMunGrsNY0zeF3TtWctzkh9MuR5rfI5genuTrgjqc43uYhoClwPXAePp/x4xJPQPRZzGDth8GDgU+nHzDD8JbMS1DYMYS3YD5xX5jHetJy53AVkxLzr51eP+maCGyFIhEMugau/ZQafrttDt9KVcjLeBATA9P8nVhrU/gB+FaPwiPwqzDdwxmYteD1bxnTdYhAvCDcBFmPZzk+BnMYKehnh/b26uAq2pVR9bEZXeD40V/Al6L6Tar2UaJjhd10t9EqEAkIqO2rnciv15/BACnzFB3mdREl+3hqblSsdBuh91QKhYmAi/HBK6FfhD+qZr31krVjVGvfc32sLebgVU1fu96SALRnFSrEJFtwnVHsTnu5IDxSzh0wlNplyMypFKxUATur3joM8DvML9b3lvt+9eshUiGtRAzgHyB40VODRdQ3NZdlvFFGRNqIRLJmGTvslNm3IbTisvjSuYN7GGqeHzBgOMACCqO/xP4z1rVoRaixrgT2IJp0Zlbw/dtpgHVoEAkkikv9Ezn912HAJpdJqJA1ABx2d0E3G0Pa9lt1kwDqkGBSCRTfrH2WPpo58iJjzG3UxvbS74pEDXOQnu7oIbv2ayBaJbjReNTrUREuGaN2apDrUMiCkSNVI/1iJqty2wVZisTMFMlRSQlT3bP4e5NB9JGL++Z/se0yxFJnQJR49wNdGNmWO1fo/dsqhaiuOz2AUm7vLrNRFKUbOT6xskPMmfcmnSLEckABaIGicvuZuAue1ircURNFYgsjSOSfOru4Zaug1mydee0KyGO+/cu09pDIoYCUWPVbD0ix4smYPZugebpMgMFIsmjZRvgT8t4w6Ivs9ejP+CKVW9KtZy/bt6HR7pfRqezhXdOu2vHLxDJAQWixlpobxfUYBxRMn5oI7C6yvdqJAUiyZfuHni8/59oH22c9fzZqbYUJWsPnTT1Xqa1b0qtDpEsUSBqrHswq0rvCryiyvdqtkUZEwpEki+berZ7qJd2Hu9O559AX+zgJ7PL1F0mso0CUQPFZbcbs0gjVD/9vtlmmCUUiCRfJgy+IcA/L3s/N3e9qsHFwO0bX8lzPbOY3raBE6fcv+MXiOSEAlHj1WocUTMOqAYFIsmbrS/dPd6hjw62ct/m/Xnjov/g9U//B7dveGXDyrl6zfEAvGv6nXS2bd96JZJXCkSNt9DeVjuOSC1EIs1gxUZzu9MEbtn7CzxzwIdZfMCZfGKnMuOdrSzc8CqOe/q/OOHpf+OujQfUtZTuvg5+ue5oQIsxigykQNR4f8IMhJ4FHFTF+zR7C9Fsx4vaU61EpN7iuD8QzZnMgikPsee4lew+bjXf3P2HPDHvbM7e6QbGOVu5acN8jnnqYk5c9EXu3VjLLQ/7/bbrUFb3TmW3jlUcP/lvdTmHSLNSIGqwuOxuAe6wh9V0mzVrIHoBiIF2+pcNEGlNa7thSx90ODBzwnbfftn4F/nO7pfz2LyPccbM39FOLzd0vZojn7qEf1z8/3C86NBalpN0l5Wm306707eDZ4vky+Cj/aTeFgInYAZWXzbG92jKLrO47PY4XrQCM9NuN0xAEmlNK+yU9lmToG3oHvK9xy/nB3t8h/NnXcuXVxT56ZoFXL/+SIA/O150HfCvcdl9sJpS1vdO4NfrjwDGPrvMuXjVqGa0xqsPH90JLnqqVtsaiYyaWojSkQysXuB40aj/HzheNAlIFjFpthYi0DgiyYO+GF603WW7TBzRS/brXMaVe17G3+d9gvdNXwimNfUdQOR40c8dLxrz6Otw3WvYHHey//jnOGzCk2N9G5GWpUCUjvuADcBOwMFjeH3SOtQFrK1VUQ2kQCStb/Vm6IlhfBtM7xzVS/fvfJ6rXvZ1MJ8PP7cPvxt4yPGiq9m4ddTlJFt1vG/GrThqhxHZjgJRCuKyuxVItpceyziibd1lTbYoY0KBSFrf8qR1aBJjTSBx2X04LrvvBVzgWsABTuH+F+DRVYMu+jiYF3qmc1PXIYAZPyQi21MgSk816xE164DqhAKRtLbePli12dzfZVLVbxeX3QfjsnsycBjwa8AErvuWwWOrYPPwwShY+1p6aeeIiY8xr3PpsM8VySsFovQstLfHjWEckQKRSJat3GzGEE3sgCnjava2cdn9S1x23878Xftnrb1gg9Hjq82+aYO4eo3tLtPaQyJDUiBKz/2YMUAzgUNG+dqmnGFWQYFIWtuKisHU9RiwM3U8HDwLDtkFZnSaodfLNsC9y+CJ1dDd2//cTT3cvelA2ujl3dPvGPItRfJOgSglcdntAZLO/AWjfLlaiESyamuvGVANNekuG9a0TnjVLuDuYgZux8DSDXDfUnhyDWzphaVdABwz8RF2G7e6vvWINDEFonSNdRxRq7QQzaly+xKR7Hlxkwkmk8fBpNp1lw1reqcJRa+aBdPGQx/wfBf8aSk8ZwLRHZtewRWr3tSYekSakAJRuhba2+NGuY1Fq7QQTQCmp1mISM0ls8t2rXPr0GBmTDDB6OBZJpBVzEGNaeOs589mydadh369SI4pEKXrL8A6TCiYP5IXOF40GTPuCJo0EMVldzOwxh6q20xaR3cPrNti7o9wMcaac+w2Ifts/7dGL+080a1/ciKDUSBKkR1HlEz7GGm3WdJdtj4uu+tqX1XDaByRtJ5kq45p46Ez5Z2RJm1//nZ6matp9yKDUiBK30J7u2CEz2/27rKEApG0nhUpdpcN1NkB82ZuO2ynl8t3/y57jluZYlEi2aXNXdOXDKw+zvGiDttqNJxWCUTL7K0CkbSGjVuha6tZS3pWSt1lA82ZDDM7uWX5GcztXKowJDIMtRCl7wHMeJqpmFVod6TZZ5gl1EIkrSVpHZo5AcaNZo5EnXV2sGDKQwpDIjugQJSyuOz20j+OaMEIXtIqLUQKRNI64rh//FC91x4SkbpQIMqG0axHpEAkkjVdW81Gq20O7Dwh7WpEZAwUiLJhob091vGiHa3kpi4zkaxJust2mgDt+lgVaUb6l5sNEbAamAK8egfPVQuRSJbEcbZml4nImCgQZUBcdvuAW+3hkN1mjhdNpX9l51ZpIZrmeJF+i0jzWtsNW/qgw+nfgV5Emo4CUXYk44gWDPOcpLtsbVx219e3nLpbB9hRqGolkiaWDKaeNcmMIRKRpqRAlB1JIDrW8aLxQzynVbrLiMtujLrNpNn1xfCi7S5La6sOEakJBaLs+BuwEpgEHD7Ec1plQHVCgUia2+rN0BPD+Daz47yINC0Fooyw44gW2sOhxhG1TAuRpUAkzS0ZTD1rktlUVUSalgJRtiy0twpEIhnneNFkVm42B5pdJtL0FIiyJRlHdIzjRYO1v6vLTCQ7/pG+GCa0w5QdLR8mIlmnQJQtDwMrgInAkYN8Xy1EItlxCmC26lB3mUjT0273GRKX3djxooVAETP9/vYBT1EgEqnW+fvGo37NRU+9JPE4XrQz8FZA3WUiLUItRNkz6L5mjhdNA6baQ3WZiaTrZKCDyeNgkrrLRFqBAlH2LLS3xzheVLnsbdI6tDouuxsaW1LdJIFo1jBrL4lkUX93mYi0BHWZZc8jwAvAbOAo+rf0SAZUt0p3GZh1l3owP4ezaa3/NmkQ5+JVo+oCG31/2YDzedGewHGAFmMUaSFqIcoYu4LzQntY2W2WtBC1SndZsvbSMnuobjNpFu8BHOB2JuhvSpFWoUCUTYPta9ZqA6oTSbfZnFSrEBm5kr31U61CRGpKgSibkkB0tONFSZt8q61BlNDAamkajhftD7wa09UbpFyOiNSQAlE2PY4JCuOB19jHWr2FSIFImkHSOvT7uOy+mGolIlJTCkQZZMcRDZx+r0AkkiLHixyS2WVwTZq1iEjtKRBl10J7+3r7Qdxyg6otBSJpFocC+wObgV+lXIuI1JgCUXYlLURHYcLCZHusQCSSjqR16Ndx2V2faiUiUnMKRNn1JPAcMA54t31sZVx2N6ZXUl1o2r1knuNFbcB77aFml4m0IC2ikVF2X7NbgH8CTrUPt1rrEPS3EM12vKjNrk2UT6PdY2vA/lpSV68D9gDWAjekXItIyygVC7tiWl9PA071g/ChUrHQgdkr8APAo34Qfn6I134R+DgwAbgOONMPwi1jrUWBKNuSQHSYPW61AdVgVuWOMT+Ls4Dl6ZYjMqhkdtn/xmW3O9VKRFpEqViYCiwG/grMr/jW1Zgxe9OARUO8dj7w74Bn3+N24I/AD8dajwJRti0ccNxygSguu1sdL3oR2AXTbdYygajRW0qMhd2GYh7weFx2W7EFsmpb+joAivZQs8tEamcTsBcwCXi64vFz/CBcWioWFg7z2uQjczHmd2M3Zn2wMdMYomx7Gnim4rhVf2FpYHUKHC86HfNhcjOw2B7LAL/rmg+wE2a828I0axFpElNKxcK0iq/OwZ7kB2GPH4Tb/RHsB+HSwZ4/4DkPAN8CHgBeBP4G/KSaohWIMmzAvmYAXSmVUm8KRA1mW4a+T/9nQBtwuX1cKvhrX5fc/XlcdnvTrEWkSTyCGW+XfF1Q6xOUioXDgDMwrbdvBA6hf+LDmCgQZV9lE+DXWvSveAWixpvH9v/+24G5KdSSWRv6OgnXHZUcanaZyMgcCEyv+LqwDud4E/CUH4TX+kF4G/AH4G3VvKHGEGWY/Wv9AxUPJX/F/7bFxnsoEDXe45g++MqZan3AE+mUk03XrzuCjfEEgKeAP6Vcjkiz6PKDcF093rhULLT7QdgLPAzsVyoWFmDGnh4DfLua91YLUbbl5a94BaIGs4H6uQEPrwTWNL6a7Lpm7XHJXd92YYtISkrFQhG4H8APwjLw38DPgTsxLURfr+b91UKUbY9j/mqvDEW9tN5f8QpEDeZ40TxgT0yX7KnAJZh1dv4bODvF0jJjVc8Ubuw6NDnU7DKROvGDcBEvba1OHl8w4DgAgorjLwJfrFUdaiHKMPtX/JmYEIS9PavFustAgSgN77C3t8Rl93+A99vjjzhe9JaUasqU/113NFvjcRwy4Wnisvtw2vWISH0pEGVcXHavAPbG7Hq/tz1uNdsCkd3IVurvnfb2WoC47N4MXGYf+5HjRTNTqSpDktllpem3pVyJiDSCusyagG0RarVWoUpJIJqAmZGwJr1SWp8drH8UZlB15a7t5wNvwezofhlmlfRcem7rTizccDAA753+x5SrEZFGUAuRpC4uu5swa1WAus0aoWBv74zL7rYF0OzGwe/HjFt7n+NFJ6dQWyb8Yu1riWnjtZMeZq/xK9IuR0QaQIFIskLjiBrnJd1lleKyew/9a4Zc7njRnIZVlSHJ7LJTpt+eciUi0igKRJIVCkQN4HjRLOB4e3jdEE/7d8xmizsD38/buK7Hu3fjvk3zaKeX4vQ70i5HRBpEgUiyQoGoMf4R8+/+L3HZfXqwJ8Rldwum62wLcBIvXRy05SWDqU+Y8ld26ajL2nIikkEKRJIVSSDKZRdNAw3ZXVYpLrsPAv9iD7/heNFeda0qI+IYrlljustK6i4TyRUFIskKtRDVmeNF04AT7OGwgci6BLMC7FTgSseLWv7z4q+b9+HRLXsywemmMO2etMsRkQZq+Q84aRoKRPX3D8B44FHg7zt6st3Z/TRgI2YdrI/XtboMSAZTe1PvY1r7ppSrEZFGUiCSrFAgqr9t3WUj3ZcrLrtPAJ+zhxc7XnRAXSrLgL7Y4X/WmPFDp8zQYowieaNAJFmhQFRHjhdNBE60hyPpLqv0PeB3mIUzf+p4UUsu6PrHja9gSc8sprVt4G1T/px2OSLSYApEkhVJIJpuf3lLbb0ZmAQ8i90teqRsa9LpmMUzjwTOq3l1GZDMLjt52l1MaNuacjUi0mgKRJIV64Bk0IZaiWpv1N1llez2MckYon9zvOjQ4Z7fbLbG7QRrXwtAaYZml4nkkQKRZIL9Ja1uszpwvGgcZv0hGH13WaWr7es7MF1nndXWlhW/75rPyt5pzO5YzesnP5h2OSKSAgUiyZJl9laBqLYWADOAFcCYl162ofUjwHLgYMyK1i3hGjuY+t3T7qDD6Uu5GhFJgwKRZIlaiOoj6S4L7VT6MYvL7grgTHt4ruNFr62qsgzY2DeecP1RgGaXieSZApFkiQJRjTle1A68wx5W0122TVx2fwX8GHCAnzheNKUW75uW69cfwYa+iewzbhlHTXws7XJEJCV1nT5bKhZ+i5ndkvgq0AecDVwPvM8PwlEP8JSWpUBUe68BZmMGrd9cw/c9B3gDsB/wFeCjNXzvhvKTrTpm3I6Tq21sRaRSvVuIdgM+Bsy0X5cCJeAoYH9gfqlYOK5ULJw59FtIjigQ1V7SXXa93bS1JuKyuxb4oD082/GiNw/3/Kxa3TuZ33QdBsAp09VdJpJnjQhET/tBuMYPwjVAN2Zq9SLMX6w7YfZLCutchzQHBaIacrzIYYSbuY5FXHZvBi6zhz9yvGhmrc9Rb/+79mi2xuN4VeciDprwbNrliEiK6tZlVioWxgM7A/9dKhZ+CNwFnAXcilng7WbgDODLfhAuH+T1nUAn0NTjE2RUFIhqaz6wN+aPkN/W6RznA2/BtPheBvxTnc5TF77du0yDqUWkni1EMWYht09j/kp1gX/zg/DDmBVzrwS6gEKpWHi2VCycPeD1F2CC0yN1rFGyJQlEu9i1c6Q6SevQjXHZ3VCPE8RldyNmA9g+4H2OF51cj/PUw/NbZ3LLhoMBeO/0P6ZcjYikrZ6BqB34lR+Ev/eD8B5Mt5hrvzcH+CzwU+BVmHFF/zLg9RcC04ED61ijZMuLQI+9PzvNQlpEEoj+t54nicvu3cBF9vByx4ua4v/dL9YeS0wbx0z6O3uP366RWkRypp6BaC6wpFQsvKdULOyLaVaP7Pf+BfgEpil/C7ASM4V3Gz8Iu/0gXIdpRZIciMtuH/CCPVS3WRUcLzoQeCWwFfi/BpzyS8ADmG7y79vxS5l2jd27rDRdW3WISB0DkR+EDwGfxEy1/yvwBP2tQGf6QXg38GfML8A/Ad+sVy3SVDSOqDaStYf+EJfdNfU+mZ3B9n7MHzj/iOlGy6wnuudw76b9aaeX4vQxL94tIi2krusQ+UF4Gf2zUCofj+1tH/3N+iKgQFQrdZtdNpS47EaOF/0LpvvsG44X3RyX3Wcadf7RSAZTv3FKxOyOtSlXIyJZoJWqJWsUiKrkeNHLgcMxExt+1eDTXwLcCUwDrnS8KHOfMXHc312mtYdEJJG5DyvJPQWi6iXdZbfHZbeho4XtXmmnARsxK1l/rJHnH4kHNu/DI90vo9PZwjum3Z12OSKSEQpEkjUKRNVreHdZpbjsPgGcaw8vdrzogDTqGIpvW4e8qfcxrX1TytWISFYoEEnWKBBVwU55f509vC7FUr4L/B6YCPzU8aK6jlccsc09XLn6DYBml4nISykQSdYkgWhOqlU0r3/ELGFxX5oDmuOyGwMfwiyueiRwXlq1bLNsA9y7jBW9M4CY5T3T0q5IRDJEgUiyZlsgyuKA3CaQrBSdSndZpbjsLsGsNwbwr44XzW94EVt6YcVGeHQlPL664hsOn1h6Jku27tzwkkQkm7LRjC3S7wXM7KgOzCJ/K9Itp3k4XjQDeKM9TD0QWVcBBcy4pp85XnR4XHa7ATh/33hU73TRUzte7HFLL6zt7v/a2DPkU3tp54nu3dhz3MpRlSEirUl/gUumxGV3K2YLD9A4otHyMEHy4bjsPpp2MbCt6+wjwHLgYMyK1jXjeNEcVmyEJ1bDfcvgnqXwyCpYuqE/DE0aB7MnbffadnqZ27l0u8dFJJ/UQiRZ9CKwC2afu2gHz5V+qc4uG0pcdlc4XnQmZj/Dcx0v+nVcdu8cy3s5XrQbcLz9WgAcyCOrXvqkyeNgeqf9Gg/j2s3j0zq3dZu108vlu39XrUMiso0CkWSK40WnA6+whz9zvOho4HrMujabBruNy+7Q/SKjP/+ewDzgcTsGpik4XjQZeKs9zFQgAojL7q8cL/oJZo2inzpedEh88I5f9/zWmdy64WBu3XAQl3vRI8DAKfwxk8c5gwaggeZMhpmd3LL8DOZ2LlUYEpGXUCCSzLBh5PuVD2EW9ht2cT/Hi3oYJjCN4va1wNmYruQ+x4vOjMvuFTX6z6u3t2CmuC/C7B2YRZ/CLNa4H/DtW7oOZt6AYPLc1p22BaCFGw7msS17VL7+AMz4sgeAhfbrdg6bPfJk09nBgikPVfvfISItSIFIsmQeg49rexLoBSZhfuknt4kOzFYRtZxH3QZc7njRb5ukpWhbd5kdt5M5cdld63jRB4GbgNPesOjLtNHHh2beBMCtGw7i8ZcGIBz6mD/haRZMfoivrXz72zGrb69+yXMuHtBlJiIyBgpEkiWPA328NBT1AgsGhhLHixxgAi8NSMntYI8NdZvc3x04bEA97cBcINOByPGi8cBJ9jBz3WUDPIpp5XEA+mjjh6vfvO2bDn0cagPQgskPcezkh5nZvgGAS3/yxV+nUbCI5IMCkWRGXHaX2MG3l2PCSC9w1mAtNLYVZJP9qrqJwHbXLWb7MPZEte/dAG/AtI4tA+5Kqwjn4lU7bpl61Sx48MXtHn73tD9y6oyFHDv578ywAUhEpJE07V4yxY7Z2Rt4PbB3o8bw2NB1JiYEJX7ZZN1lYVx2+1KtZEcmbv83WDu9fHW3K/Gm3acwJCKpUQuRZI4NIQ0PInHZvcLxot8Cn8RsTvo2x4tmx2X3hUbXMlKOF7VjFj6E7HeXQWcHzJup6e8yKiNqfawQn7fTjhfxFBlAgUikgu22Ox/TQnU48F/A6elWNazXYtZsWoOZdZV9mv4uIhmkLjORAWy30yft4YccLzoizXp2IOku+7Vd5bs52OnvCkMikhUKRCKDiMvuXcBP7eE3s7jRrJ1pl8nVqUVEmk3mPuRFMuR8oAt4DfBPKdcymFcDLwM2AL9LuRYRkaamQCQyhLjsLgX+wx5e7HhRLRd+rIWkdeg3cdndlGolIiJNToFIZHjfwCwYOQf4Qsq1bBObOTcn20N1l4mIVEmBSGQYcdntBs6xh+c4XjRwc9FU/L17T4D9gS3Ab9KtRkSk+SkQiexAXHZ/A/wfMA74WsrlAHDtuqOTu7+Py+66NGsREWkFWodIZGQ+DbwZs1jjP8Rl9//SLObada/ZdjfNOkQy6fx9R7fB8UVPaSFHUQuRyEjEZfdx+luHvu54UWdatTy9ZVf+snk/MBvhasNTEZEaUAuRtLwaLvv/ZeD9wFzMuKKLq6tsbK7rbx26NS672+2Uqm0ORKRZlIqFXYFTgNOAU/0gfKhULHQAbwU+ADzqB+HnB3ndQuD4AQ//wQ/CN421FgUikYGGaG6PD4afrV7A+587h8ltmy56/rOvvmj3casb3tyu7jIRaQWlYmEqsBj4KzC/4ltXA4cC04BFQ7zcoz/DOMCfqPIzUV1mIqPwvhm3cvTER9jQN5Hzlp3W8PMv3TqTOzcemByGDS9ARKR2NgF7AaUBj5/jB+H+wCNDvdAPwi4/CNf4QbgGs6fjLOAn1RSjFiKRUWhzYr65+w848sn/5qq1Czh75xs4poHnD9cdRUwbR018lLuD4pIGnlpEZKSmlIqFyoVsu/0g7B74JD8Ie4DlpWJh7wGPLx3l+c4FfuAH4YZRV1pBLUQio3T4xCf50Mw/APDJ5z+M40XtjTp30l32zml3N+qUIiKj9QiwtuLrgnqdqFQsHIlpIfpWte+lQCQyBv81+yqmtW3g/s1zAT7YiHOu6pnCLRteBcA7FIhEJLsOBKZXfF1Yx3OdC1znB+Ez1b6RusxExmDXjrV8adf/4dPLTge40PGiX8Zld009z3n9+iPopZ1XdS5iXudoW5RFRBqmyw/CuiwYWyoW2v0g7LX398Ps6XhcLd5bLUQiY/SxnX/DKzqfBTOY79/qfT51l4lInpWKhSJwf8VDnwH+7AfhHbV4f7UQiYzROKeXb+z2Q9686EsAH3e86Adx2f1bPc7V1TuB33YdCsA7p99Vj1OIiKTCD8JFmKnzAx9fMOA4AIKK44/Vsg61EIlU4YQpDwBcB7QD33C8qC5rEt3QdRjd8Xj2G7+UV3UurscpRERyTYFIpHqfBbqBNwKFepygsrvM0brSIiI1p0AkUqW47D4N/Lc9vNTxoom1fP/NfeMorz8CgHdOU3eZiEg9KBCJ1MZFwBJgb+BztXzjP2xw6eqbyO4dKzly4uO1fGsREbEUiERqIC67G+gPQhc4XvTyWr33tWuPBszaQ23OqPZtFRGREVIgEqmdXwC3ARPp70KrSk/cxq/WHwlour2ISD1p2r1IjcRlN3a86JPAn4F3s6YbZnRW9Z63b3glK3unsXP7Oo6bXJcZ/XD+vqNrdrroKQ3rFpGWoxYikRqKy+4DwOUAPLUG4uq6uK5dZ7rL3j71T3Q4fVVWJyIiQ1EgEqm9LwKr2bAVlo598+W+2OG6dUcBWoxRRKTeFIhEaiwuuyuBLwCweC1s7R3T+9y7aS7P9cxiattG3jg5qmGFIiIykAKRSH18n8njoCeGxWPb4zDpLvuHqfcxoW1rLWsTEZEBFIhE6iAuuz3sO8McLN0AXVtG9/pYm7mKiDSSApFIvczohFl20eon14xqgPVD3XvxxJbd6XS28LYpf65PfSIiso0CkUg97Tsd2hxYtwVe3DTilyWtQ2+Z8hemtG+uV3UiImIpEInUU2cHvGyquf/UWugd2dR5dZeJiDSWApFIve0xFTrbYUsvPLt+h09/onsO0eZ9aKeXk6be24ACRUREgUik3todtg2wXrIeNvUM+/RkdtnrJz/ITh1ddS5ORERAgUikMXaeYAZZx8DTa4Z9qrrLREQaT4FIpBGcilailZth9eADpZds3Zl7Nh2AQx+Fafc0rj4RkZzT5q6STaPdcBSyv+no5HGw+xR4vstMwz9stpmBViG0W3UcPelRdhu3OoUiRUTySS1EIo201zToaDPjiJZuPz5I3WUiIulQIBJppI422Ge6ub94nZl5Zr3YM5VbNxwEwDsUiEREGkqBSKTRZk+CKeOgN4ZFa7c9/Ov1R9JHO/MnPMW+419IsUARkfxRIBJpNMeB/WaY+y9shPVmnzN1l4mIpEeBSCQN0zph10nm/pNroKeP33fNB+Cd0+5KrSwRkbxSIBJJy952n7P1W+DvK9kSj2OfcUt5ZeezaVcmIpI7CkQiaelsh5fbfc7WdAOwaOscfrT6TSkWJSKSTwpEImmaNeklhzEOZz1/Nku27pxSQSIi+aRAJJKm7u33NeulnSe6d0uhGBGR/FIgEknTxO0Xi2+nl7mdS1MoRkQkvxSIRNLU2QHzZm47bKeXy3f/LnuOW5liUSIi+aO9zETSNmcyzOzkluVnMLdzqcKQiEgKFIikIZyLV41qs9bR7+za5Do7WDDlobSrEBHJLXWZiYiISO4pEImIiEjuKRCJiIhI7ikQiYiISO4pEImIiEjuKRCJiIhI7ikQiYiISO4pEImIiEjuKRCJiIhI7ikQiYiISO7lfuuOUW8pcd5OTr1qERERkXTkPhClZdRBbPXhozvBRU8puImIiIyQAlHOKIiJiIhsr66BqFQsvAe4EJgJXAecDfyHvb0eeJ8fhLnb2FxERESypW6DqkvFws7AlZgA9FrgrcDngBJwFLA/ML9ULBxXKhbOrFcdIiIiIjtSzxaiIwEH+LEfhHGpWPgNsADYBCwC1gE7YVqQvDrWUVvn7zu6Fi11IYmIiGRePQPRLsCGii6xNcC+wK3AWuBm4Azgy34QLh/44lKx0Al0AlPsQ7NLxULNi5zgXjKq56/sGd0l+3ixsIfOW//zpnlunbe1z5vmuXXefJ437XNXYXYd3rNhnDiuzxCeUrHwfuBSPwhn2eNLgEP9IHxjqVgYB5wMvBFoB04A/ssPwu9WvP7fgH+tS3EiIiJSL6/2g/DPaRcxWvVsIXoRmFoqFtr8IOwDpgFJS9Ac4LPAZ4BLMeOKAuC7Fa+/0H4P4BXAkjrWWg9TgEeAA4GulGtJk66DrkFC18HQddA1SLTidZgN/CXtIsainoHoT0AvcFapWLgFeBvwZfu9fwE+AfQAW4CVmPFG2/hB2A1028N76lhnXZSKhWn27lI/CNelWkyKdB10DRK6Doaug65BokWvw3NpFzBWdZtl5gfhi8AHgX8G7gJ+B/zYfvtMPwjvBv4MvIAJT9+sVy0p6Qa+RH+oyytdB12DhK6Doeuga5DQdciQuo0hEhEREWkW2txVREREck9bd4xCqVjYFTgFOA041Q/ChwZ8/4vAx4EJmJW5z/SDcEupWDgGM2B8HvAw8GE/CP9ilxb4DvBOzLIEF/hB+D+N+u8Zq+GuQ6lYaAO+CnwIWI35b/Lt91zgR8ABwH3AaX4QPtOM16GKa/BWzGSBfTADD0/3g/DvzXgNYOzXoeI5HwO+BbzeD8KFebwOpWLhZOD/Afv5QTjDPtZ016GKfxMt8/lYKhbOxUwWmgzcCHzQD8INFd//NGaB4nGYISTn2XX6WuazsZmphWiESsXCVGAx8B5g/iDfnw/8O+Yf/GuBtwPvt9/+DvBXYC7wNHCZffx04E3A0cDFwI9KxcIudfpPqIkdXQfMh+EHgDcAnwZ+XCoW9rbf+yFwP3AQsBXzAQlNdh3Geg1KxcIM4JfATzArtW8EvmFf01TXAKr+WaBULOyJWcm+Uq6uQ6lYeBfgA1cBbsVrmuo6VPmz0BKfj6Vi4QTgP4FTMTW/DvhUxfcPAi7BjK09CfPH84n22y3x2djsFIhGbhOwF2aJgMEkg7EWA89iBsn12Mf6gOV+ED6PWY4gefx44AY/CB8Bvo9Zk2mUu6k23I6uw1HAHX4Q3u8H4XXAU8CbS8XCROAI4Eo/CJ8BfgocZ1/TbNdhTNcAmIppDfmWH4TPAn+kfyGzZrsGMPbrkPgO/RMtEnm7Dv8KfNsPwq/ZfxeJZrsO1VyDVvl83IJp8bnJD8K/AY/y0oUKjwMe94Pwd34Q3gPcCRzXYp+NTU2BaIT8IOwZbEXtiu8/gPll9wDmH/XfMC0BAB8BPl0qFroxfyV9xD6+C3btCbtW03r7WGbt6Dpg/sI7rFQs7FIqFuYBs4Bd6f/vStbaWFPxWFNdh7FeAz8In/WD8Hw/CDfYv6j/CdMyAE12DaCqn4Vk4+d5mL+oK+XmOtgp1wcD+5SKhadKxcKfS8XC6+xrmuo6VPOzQIt8PvpBeKsfhF8DKBULhwCvAa6peMq2/x5rjX2sZT4bm50CUY2UioXDMFuRFDErcB8CvNd++7uY1P9qTL/yNwZ7D6vZp/19D9NCthS4Hhhv7w9muP/WZr4Ow14Du1L7LzHrdXx9mPdp5msAQ1yHUrEwE/PffSYjm27cktcBmGG/vwwoABHw81KxMNT+h818HYb7N9FSn4+2K/h64Ku2JWg4Q/33tOpnY6YpENXOm4Cn/CC81g/C24A/AG+zAw0PA75rBxl+HzihVCy0Y1qSZgDYD8Gp9K/m3ZT8IFzrB+FRmKbiY4BJwIPACvuUGfa2cuXylroOw1yDZHDpz+z33u4H4Vb7spa6BjDsdTjLPnY9/SvQl0vFwrHk6zqswPxyu8IPwgjThbgbpvWkpa7DUNeg1T4fS8XCLOD3mL06vzDg29v+e6zkMzA3n41Zp0BUOw8D+5WKhQWlYuGVmH/0D2N+oFcApVKxsDvwLuAxPwh7MRvdnmiffzqm7/zeVKqvIdsn/nJMc/FCPwj/5AfhJszsiTNKxcLLMd1FC+1LWu46DHYN7Le+jfnZeI993gwbklruGsCQ1+F7mI2e52OuBZjW1fvI0XWw/yZuBj5pWxXeDzzrB+EKWvA6DPGz0DKfj6ViYQrwG+AZzNZU0ytWoga4Ddi3VCx4pWLhcMzP/sK8fTZmmQJRlUrFwqJSsXCaH4Rl4L+Bn2MGy/0B+Lrt90260Z7AzCT5J/vyHwI3AHcAn8dM0VzV4P+Emkiugz38DGZl8qX0dxuC+Qd9ECYoTsCsYg4tch12dA1KxcJemPERL8PsX7Tafr2cFrkGsOPr4AfhGj8IF/lBuAjzywNgmR+Em8nRdbA+hNnb8RHMTKJ32cdb4jqM4GehlT4fT8YMjn4zJuitBqKK3xEPYa7B9zH/Xd/yg/C39rUt/dnYLLRSdRVss+4a4GQ/CH+Xcjmp0XXQNUjoOhi6DroGoGvQbNRCVJ0jMBvP/iHtQlKm66BrkNB1MHQddA1A16C5xHGsryq+3vuutztp15CFL10HXQNdB10HXQNdg2b+UpeZiIiI5J66zERERCT3FIhEREQk9xSIREREJPcUiERERCT3FIhEREQk9xSIREREJPcUiERERCT3FIhEREQk9xSIREREJPcUiERERCT3FIhEREQk9xSIREREJPcUiERERCT3/j/SDL/4zXhw6AAAAABJRU5ErkJggg==);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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g5gXoJRQiifL3KidXS2DMQSVILDa6bfw8wG/gwMLvcljTGXHbfRlx6K4Wp/Pvu33mphewhahMuvZUkqXUMRG3ApbeSJLWWgag9uPRWkqQWMhC1B5feSpLUQgaiNuDSW0mSWstA1CZceitJUuu47L6NuPRWkqTWsIdIkiQFz0AkSZKCZyCSJEnBMxBJkqTgGYgkSVLwDESSJCl4BiJJkhQ8A5Gk40tfP4/2vpedP5vR6kokjSNNuTFjEkenAJcClwOXpVm+OYmjXwC+DJwDPAP8UZrlm5I4Wgh8FegFLkqz/Jlm1CBJvPAabN3HR7iFCRxkzRlf5Mrp32h1VZLGgYZ7iJI4OhHYAVwCLKh56zbgNeAs4PvA0KMobgSWAV8Brk7i6O1JHH0piaOORmuRFLC+fti6743Ng0zgqueX2lMk6ag0Y8jsADALSIbtPx9Ym2b5jynC0DlJHE0qP3Mn8DzQCawENqRZPtiEWiSF6kD/IbsG6GRb3+ktKEbSeNPwkFma5f3AniSOZg9762SKYTGAV8rXdwFfAB4EXqfoRTo3zfJPDz9vEkddQBcwudEaJQXgHYf+c9bJAHO6dregGEnjzVhPqh5Ms3w9MAN4D3AxsD6Jo+1JHK0rQ9CQ5cCrwJYxrlHSeNQ1EeZOe2OzkwFWn3EXM094uYVFSRovqgxELwFTy++nlK//ApBm+QBwF3ATcC2wtHz/wpr2K4CTgHkV1ijpeHLaO+Hc03h09k1s/8UlTqiWdNSqDESPAR8vV5tdAWxMs/xfAZI4Oh94sewt6qQYUvtp+T0AaZb3pVm+nzeH3STpyLom8qHJm+0ZknRMqgxEN1DMUfoBcDbwiaE30ix/jKJnCIpJ1V8HZgLrK6xHkiSprqbchwggzfLtQEfN9o+Bjxzm+MHydS2wtll1SJKk8WGE+xieA9xNcdueZ4Gr0yzfUKftdcBngBOA+4BljaxY907VkiRpzNW7j2ESRxOAB4AngDnA08C9ddqeRbFS/QrgIuAa3joP+ZgZiCRJUivUu4/hJOB+YFWa5buAR4BT67Q9D9iaZvnDaZY/CXyr3DdqTRsykyRJAiYncTSlZrsvzfK+4QfVu49hmuW9QA9AEkcTgcXUn1ZTe69DKBZnndxI0fYQSZKkZtpCcR/Boa/lozzPaor7Fh5t+4aeeGEPkY5rHav21v0LMrhsus/Ok6RqzANqbxF/SO/QkSRxdCtwAbCwvAXPcLX3OoTifodbj/VzahmIJElSM/WOEGKOShJHPcASYBGwP4mjqeU5+5M46ixv7vw4cGcSR93AC8AHgNsbKdohM0mS1E6GnlSxEdhXfi1M4igGngJIs3wzcD2whuJehnemWf5QIx9qD5EkSWqZOvcxPNyUhqzmuDuAO5pVhz1EkiQpeAYiSZIUPIfMFKaeM+svz1z5nKvPJClA9hBJkqTgGYgkSVLwDESSJCl4BiJJkhQ8A5EkSQqegUiSJAXPQCRJkoJnIJIkScEzEEmSpOAZiCRJUvAMRJIkKXgGIkmSFDwDkSRJCp6BSJIkBc9AJEmSgmcgkiRJwTMQSZKk4BmIJElS8AxEkiQpeAYiSZIUPAORJEkK3sRWF6DjQM+Zg3X3r3yuY4wrkSRpVOwhkiRJwTMQqSEd3ZtmPtr7Xnb+bEarS5EkadQMRBq1ju5NVwI7PrL9FmY98yXu2ftbrS5JkqRRMRBpVDq6N80E1lD+GTrIBK56fqk9RZKkcclApNGay7A/PwN0sq3v9BaVI0nS6BmINFpbgYO1OzoZYE7X7haVI0nS6LnsXqMyuG7+zo7uTUuA1UBnJwOsPuMuZp7wcqtLk9pax6q9dW9TMbhsurepkFrIQKRRG1w3/56O7k0PPTr7pp/M6dptGJIkjVsGIjVkcN38nfRsbnUZkiQ1xDlEkiQpeAYiSZIUPAORJEkKnoFIkiQFz0AkSZKCZyCSJEnBMxBJkqTgGYgkSVLwDESSJCl4BiJJkhQ8A5EkSQqegUiSJAXPQCRJkoJnIJIkScEzEEmSpOAZiCRJUvAmVnnyJI4WA58FpgGPAB8H/hOwFPga8LE0ywerrEGSJOlIKgtESRzNAFYDnwIeBh4C/hK4CHgf8BVgQRJHJwLz0ixfU1UtktT2es6s/8vhyuc6xrgSKUhVDpl1AAPATmAX8Fq5fQDYDuwHpgO3AXmFdUiSJB1WZYEozfKXgOUUQ2P7gbcBNwKPAa8CPwMWA7ekWb5nePskjrqSOJoCTK6qRkmSJKgwECVx9HMU84c+BXwQOAG4Ls3yTwCTgHuBXiBK4ugnSRwtHXaK5RTBaUtVNUqSJEG1Q2YfBDrTLP9imuX/CDwA/G753mnADRTziH4ZSICbh7VfAZwEzKuwRkmSpEpXmW0B3pHE0cXAPwAXAN8u37sZuBboB14HXqaYc/SGNMv7gL5y0rUkSVJlqpxDtAm4Brgd2AT8BLipfHtJmuUbge8AL1IEpb+uqhZJkqTDqfQ+RGmWfxH4Yp39g+XrQeAPqqxBkiTpSLxTtSRJCl6lPUQ6vnSs2lv3xnHealySNN4ZiCRJ40ZH96aZwFxg6+C6+TtbXY8ak8TRKcClwOXAZWmWb07i6BzgbuAs4Fng6jTLN9Rpex3wGYrb+twHLGvkcWAOmUkaWV8/j/a+l50/m9HqSiQ6ujddCeygeDbmjnJb41S5inwHcAmwoNw3geI2PU8Ac4CnKe5bOLztWRRPuriC4pFg1wAXNlKPgUhSfS+8Bt9+gY9sv4VZz3yJe/b+VqsrUsDKnqE1vPlzawKwutyv8ekAMIviXoRDJgH3A6vSLN9FEX5PrdP2PGBrmuUPp1n+JPCtct+oOWQm6VB9/bB13xubB5nAVc8vZdGJ32XmCS+3sDAFbC6H/hLfSdGL4NBZe5lcPnprSF95b8G3SLO8H9iTxNHsmn29QA9AEkcTKR7xtbbOZ5xM8bSLIa+U+0bNHiJJhzrQf8iuATrZ1nd6C4qRANgKHBy2bwDY1oJadHhbKB69NfS1fJTnWQ3MOIb2Da3xMRBJOtQ7Du087mSAOV27W1CMBOUE6iUUIYjy9SonVreleRSP3hr6WnGsJ0ji6FaKJ1wsSrN8f51DXgKm1mxPAQ55UPyxcMhM0qG6JsLcaW8Mm3UywOoz7nK4TC01uG7+PR3dmx6iGCbbZhhqW70jhJijksRRD0X4XQTsT+JoannO/iSOOtMsHwAeB+5M4qgbeAH4AMWTMUbNQCSpvtPeCdO6eHTPYuZ07TYMqS2UIcggdHwb6lHaWLPvw0kcnQz8GbCgXJ5/PcVE+xOAO9Msf6iRDzUQSRpZ10Q+NHlzq6uQdBxLs3w7NQ94T7O8Y+SjyWqOuwO4o1l1OIdIkiQFz0AkSZKCZyCSJEnBMxBJkqTgGYgkSVLwDESSJCl4BiJJkhQ8A5EkSQqegUiSJAXPQCRJkoLnozskKWQ9Zw7W3b/yucM9PkE67thDJEmSgmcgkiRJwTMQSZKk4BmIJElS8AxEkiQpeAYiSZIUPAORJEkKnoFIkiQFz0AkSZKCZyCSJEnB89EdkqS21LFqb93Higwum+5jRdR09hBJkqTgGYgkSVLwDESSJCl4BiJJkhQ8A5EkSQqegUiSJAXPQCRJkoJnIJIkScHzxoySpPGl58y6N2xk5XPesFGjZg+RJEkKnoFIkiQFz0AkSZKCZyCSJEnBMxBJkqTgucqs3bh6QpKkMWcPkSRJCp6BSJIkBc8hM0mSmqRj1d660x4Gl0132kObs4dIkiQFz0AkSZKCZyCSJEnBMxBJkqTgGYgkSVLwDESSJCl4lS67T+LoIeC3a3bdDhwElgJfAz6WZnn9OzNLkiSNkarvQ3Q68Cng/nJ7EvAk8D7gK8CCJI5OBOalWb6m4lokSZLqGotA9KM0y18BSOKoEzgAbAf2A9OBFUB3xXVIkiSNqLJAlMTR24AZwF8lcfTfgCeAq4DHgFeBR4DFwC1plu+p074L6AImV1WjJEkSVDupehC4BrgO+ANgPvDnaZZ/gmLo7F6gF4iSOPpJEkdLh7VfThGctlRYoyRJUqWBqBP42zTL/z7N8ieBnCIUAZwG3EAxj+iXgQS4eVj7FcBJwLwKa5QkSap0DtEc4PtJHP174B+ARcDj5Xs3A9cC/cDrwMvAWx58l2Z5H9BXTrqWJEmqTGU9RGmWbwb+mGKp/feAbbzZC7QkzfKNwHeAF4FvA39dVS2SJEmHU+kqszTLPw98vs7+wfL1IMX8IkmSpJbxTtWSJCl4BiJJkhQ8A5EkSQqegUiSJAXPQCRJkoJX9bPMJEmS6kri6BTgUuBy4LI0yzcncXQOcDdwFvAscHWa5RvqtL0O+AxwAnAfsGxoFfto2EMkSZLGXHnj5R3AJcCCct8E4AGK55/OAZ6meNTX8LZnAbcBVwAXUTwq7MJG6jEQSZKkVjgAzKJ4fNeQScD9wKo0y3dRPAj+1DptzwO2pln+cPl4sG+V+0bNITNJktRMk5M4mlKz3Vc+just0izvB/YkcTS7Zl8v0AOQxNFEYDGwts5nnEzxgPghr5T7Rs0eIkmS1ExbgFdrvpaP8jyrgRnH0H7U84fAHiJJktRc84DdNduH9A4dSRJHtwIXAAvTLN9f55CXgKk121OArcf6ObUMRJIkqZl6RwgxRyWJox5gCbAI2J/E0dTynP1JHHWmWT4APA7cmcRRN/AC8AGKh8mPmoFoJD1n1u96W/lcxxhXIklSSFaUrxtr9n04iaOTgT8DFpTL868H1lAsu78zzfKHGvlQA5EkSVXzl+wRpVm+Heio2T7cNclqjrsDuKNZdRiIJCkAHav21v2B3NAsVOk44iozSZIUPAORJEkKnoFIkiQFz0AkSZKCZyCSJEnBMxBJkqTguexekqRxbsTbKiybHvx9jo6WPUSSJCl4wfcQebMySZJkD5EkSQqegUiSJAXPQCRJkoJnIJIkScEzEEmSpOAZiCRJUvAMRJIkKXgGIkmSFDwDkSRJCp6BSJIkBS/4R3e0io8MkSSpfdhDJEmSgmcgkiRJwTMQSZKk4BmIJElS8AxEkiQpeAYiSZIUPAORJEkKnoFIkiQFz0AkSZKCZyCSJEnBMxBJkqTg+SwzSZKOVz1n1n9E5srnOsa4krZnD5EkSQqegUiSJAXPQCRJkoJnIJIkScEzEEmSpOAZiCRJUvAMRJIkKXgGIkmSFDwDkSRJCp6BSJIkBc9AJEmSglfps8ySOLoRuB54J7AeuAL4LLAU+BrwsTTL6z9nRZIkaYxU1kOUxNEFwF8AlwHvB34D+BMgAd4HvBtYkMTReUkcLamqDqlt9PXzaO972fmzGa2uRJI0TJU9RK8Dy9Is/wZAEkfPAKcDB4DtwH5gOrAC6K6wDqn1XngNtu7jI9zCBA6y5owvcuX0b7S6KklSqbJAlGb5Y8BjAEkc/Qrw68Ay4O3Aq8AjwGLgljTL9wxvn8RRF9AFTK6qRmlM9PXD1n1vbB5kAlc9v5RFJ36XmSe83MLCJElDKp9UncTRTIr5QrenWf5kmuWfACYB9wK9QJTE0U+SOFo6rOlyiuC0peoapUod6D9k1wCdbOs7vQXFSJLqqTQQJXH0LuDvKXqDbqp56zTgBuArwC9TzCu6eVjzFcBJwLwqa5Qq945DO2I7GWBO1+4WFCNJqqfKSdWTgb8DfkwRfk5K4mhK+fbNwLUU84leB14GOmrbp1nel2b5fopeJGn86poIc6e9sdnJAKvPuMvhMklqI1VOqv4o8Gvl9y+VrzuA2cCSNMsHkziaALwIfJuiR0g6Pp32TpjWxaN7FjOna7dhSJLaTJWTqr8MfHmE9wbL14PAH1RVg9RWuibyocmbW12FJKkO71QtSZKCZyCSJEnBMxBJkqTgGYgkSVLwDESSJCl4BiJJkhQ8A5EkSQqegUiSJAWvyjtVS5IkjSiJo1OAS4HLgcvSLN+cxNE5wN3AWcCzwNVplm+o0/Y64DPACcB9wLKhGz+Phj1EkiRpzCVxdCLFI70uARaU+yYADwBPAHOAp4F767Q9C7gNuAK4CLgGuLCRegxEkiSpFQ4As4CkZt8k4H5gVZrlu4BHgFPrtD0P2Jpm+cNplj8JfKvcN2oOmUmSpGaanMTRlJrtvjTL+4YflGZ5P7AniaPZNft6gR6AJI4mAouBtXU+42Sgt2b7lXLfqNlDJEmSmmkL8GrN1/JRnmc1MOMY2o96/hDYQyRJkpprHrC7ZvuQ3qEjSeLoVuACYGGa5fvrHPISMLVmewqw9Vg/p5aBSJIkNVPvCCHmqCRx1AMsARYB+5M4mlqesz+Jo840yweAx4E7kzjqBl4APgDc3kjRDplJkqR2sgI4CdgI7Cu/FiZxFANPAaRZvhm4HlgDfB24M83yhxr5UHuIJElSy6RZvh3oqNnuGPlosprj7gDuaFYd9hBJkqTgGYgkSVLwDESSJCl4BiJJkhQ8A5EkSQqegUiSJAXPQCRJkoJnIJIkScEzEEmSpOAZiCRJUvAMRJIkKXgGIkmSFDwDkSRJCp6BSJIkBc9AJEmSgmcgkiRJwTMQSZKk4BmIJElS8AxEkiQpeAYihaevn0d738vOn81odSWSpDZhIFJYXngNvv0CH9l+C7Oe+RL37P2tVlckSWoDBiKFo68ftu57Y/MgE7jq+aX2FEmSDEQKyIH+Q3YN0Mm2vtNbUIwkqZ0YiBSOd0w8ZFcnA8zp2t2CYiRJ7cRApHB0TYS5097Y7GSA1WfcxcwTXm5hUZKkdnDor8zS8ey0d8K0Lh7ds5g5XbsNQ5IkwECkEHVN5EOTN7e6CklSG3HITJIkBc9AJEmSgmcgkiRJwTMQSZKk4BmIJElS8AxEkiQpeAYiSZIUPAORJEkKnoFIkiQFz0AkSZKCZyCSJEnBMxBJkqTgGYgkSVLwKn3afRJHlwArgGnAg8BS4L+Wr18DPpZm+WCVNUiSJB1JZT1ESRzNAO6lCEAfBH4H+AyQAO8D3g0sSOLovCSOllRVhyRJ0pFUOWR2LtAB3Jdm+Q+AvwM+BBwAtgP7genAbUBeYR2SJEmHVeWQ2cnAazVDYq8AZwKPAa8CjwCLgVvSLN8zvHESR11AFzC53HVqEkdNL/Lt82+ru//l/vqX5po4+rnx/LmNsOb2/9xGWPPY8M/k0bPm9v/cYU6t4JxjpmNwsJopPEkcfRz4XJrl7yq3bwPOTrP8N5M4OgH4KPCbQCdwAfCXaZbfVdP+z4HPVlKcJEmqyq+mWf6dVhdxrKrsIXoJODGJowlplh8EpgBDPUGnATcA1wOfo5hXlAF31bRfUb4H8EvAzgprbUeTgS3APKC3xbWMZ17H5vA6NofXsXFew+ao6jqeCny3iecbM1UGom8DA8BVSRw9CvwucEv53s3AtUA/8DrwMsV8ozekWd4H9JWbT1ZYZ1tK4mhK+e3uNMv3t7SYcczr2Bxex+bwOjbOa9gcFV7HXU0815iqbFJ1muUvAVcAfwo8ATwM3Fe+vSTN8o3Ad4AXKcLTX1dVyzjVB/xn3gyFGh2vY3N4HZvD69g4r2FzeB2HqWwOkSRJ0njhnaolSVLwKr1TtY5OEkc3UkwwfyewHrgizfLXat6fBvwNxaq8XcDVaZY/2opa210SRxnwh2mWdwzb7zU8CkkcdQLLKYa7f5hmefew972ORyGJo8UUq2SnUdxi5ONplr9S877XcQRJHJ0CXApcDlyWZvnmJI5+AfgycA7wDPBHaZZvqtP2OoobAJ9AMUVjWahPQxjhOp4D3A2cBTxL8eduQ522QV5He4haLImjC4C/AC4D3g/8BvAnww5bDvw88CvA/wbWJnH0trGsczxI4uj3gH83wttew6NzB/Apin8MP17nfa/jEZR36V9N8fd6PsUq2c8MO8zrWEcSRycCO4BLgAU1b90GvEbxg/z7wD112p5VHncFcBFwDXBhtRW3p3rXMYmjCcADFHN65wBPUzxNYnjbYK+jgaj1XqdI399Is/yfKH77GX5zq/OB/5Vm+Y8o0v0ZwL8d2zLbW7li4gvA50c4xGt4BEkcnQp8EvhkmuUPplm+t85hXscj66BYYbuTovfnNYoVtbW8jvUdAGZR3Iql1vnA2jTLf0wRhs5J4mjSsGPOA7amWf5wmuVPAt8q94Wo3nWcBNwPrEqzfBdFz2W9GykGex0dMmuxNMsfo7h7N0kc/Qrw68CyYYedzJv3iXilZt8Px6DE8WIV8PfA/wU+Xed9r+GRnUtxo9SLkzi6E9gMfCLN8tp7gHkdjyDN8peSOFpO8QDr14F/BlYOO8zrWEea5f3AniSOZg97q971ehfw4xGOGTru5KYXOQ7Uu45plvcCPQBJHE2keFLE2jrNg72O9hC1iSSOZlL8A3p7mcqP5Lgfzz1aSRwtBCIOHZY4Eq/hW02juCYbgN+j+O3xr46indexRlI8EuGzFEOPH6SYh3HdUTT1Oh6bo7leXtP6VgMzKIZuj0YQ19FA1AaSOHoXRe/GI8BNdQ55CZhafj90M61Dnv8WsJso/nI/B/wPgCSOXhl2jNfwyPYAB9Is/2Ka5d+luJbzhx3jdTyyDwKd5XX8R4p5G7877Biv47Gpd73+5TDHDB3nNR0miaNbKR6XtWiEGzIGex0NRC2WxNFk4O8oun5vAE5K4mhKudpnyGMUwxhnAkso5ib885gX277+I/BuismDf1zuW+A1PGZPAH1JHF1TdrVHwHe8jsdsC/COJI4uTuLo31D88PmB17EhjwEfL1ebXQFsTLP8X+GNlZEAjwNnJnHUXa6m+gDwzVYU266SOOqh+PMWA/uTOJpaDp95HTEQtYOPAr8G/DZFMt8HbAIeTOLo+vKYv6T4x/J7wMXAfyjHiAWkWf5CmuXb0yzfTvmbTPm91/AYpFn+KsWfx09SrOR5mSKkex2PQbkc/Brgdoq/yz+h6MX0Oo7eDRRzXn8AnA18AiCJoxh4CiDN8s0Uty9ZA3wduDPN8odaUm37WgGcBGyk+FmzD1jodSx4p2pJkhQ8e4gkSVLwDESSJCl4BiJJkhQ8A5EkSQqegUiSJAXPQCRJkoJnIJIkScEzEEmSpOAZiCRJUvAMRJIkKXgGIkmSFDwDkSRJCp6BSJIkBc9AJEmSgmcgkiRJwTMQSZKk4P1/TBiOw0yotF0AAAAASUVORK5CYII=);} 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);} 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TNFpqWAlHgQncpZcwNTfspHZoGFZpEFp4CkYjILOzNPRmmwkpRgd6+OmA5s4emxUADcJG7lDJ8qtBkb+4Zmtt3JSLTKRCJiMyRvbknBbzlLkUFevvqgRXMHpo6gGZgtbuU2tcgM7vmpoem0bl9VyL+UtWBKNHzQH/gG8e9roaIyKm9r/TtTiZlc5DMOksqO/V1MgvJjPOYtQHa3OXyUrsKGC9DNOQsdaGpr6MhiIadx6Du1FuN7A0dOnHzoKoDkYhITQkFoTEIjZHSZTK5aWEpUxicUm5oyuScZSRdel+RYOmwNBGkFJrEJxSIRESqSTjoLKVCk207gahUWJr4OmdDOucspwpN08PS9BAVUGiS6qdAJCJSSwIBCAec0NQ0S2jK5EqHpYkgZTMVmoZnCU0zWpnyQ1MY6oIKTVLxFIhERPwmEIBIyFmaS5Sx3RakU3XP2TiPqSyUuvYtwFRAqivRPRdRaBJvKRCJiMhMgYATXupOIzQVC0z5Qcpm6uuS78fMlqXpLU4KTTKPFIhEROTs5IemlhJlbLvIFXP5gSkDqZwTmsazzlJKEKgLz949Fw4oNMlZUSASEZH5Ewi4rT2z/LnJTQtNqSItTukc5IDxjLOUEgyUCEt5rU7hYNm/Tal+CkQiIuKtYADqw85SSs4uHZYmlkzOKTeWcZZSQoHSY5kmlpBCk98oEImISOULBqAh7CylZG1IFQlK+SEq405LcKrQFJ4ITUXGMik01SQFIhERqQ2hADREnKWUbK5EYMoLUlnbCU6ZDIzOFpqCM1uWJkOTZgOvNgpEIiLiH6c7G/ipuudyZzAbeLGgpNnAK44CkYiISL6J2cBnndiyRPdcfotTjtOc2DJYPCzlhyZdOTfvFIhERETORCAAkQBE6qCpRJlis4FPBqa8IGXjTDuQOv3ZwAO9/Q8C+4F+93E/8I69uWeWOQvkVBSIREREyu1MZgMvFZZKzwb++SJ7ywR6+w5QGJKmh6Yj9uaeXLm/1VqhQCQiIuKF057YMudOYOmGpD2D3wTOBbrdx+U4f89XukspqUBvXz+zh6Zj9uYeuyzfX5UpSyCyTOM+nMTaBDwG3AF0At8H1gC7gU/F4ok+yzQCwP1umTTwQCye+DPLNP498OVpu87G4gmFNhER8adA3kSTLvtbK+8tKNLbFwaWURiSzp32/BygDrjAXUoZO43QNFCLoWnOYcMyjQ8CXwPWA4eALcA9wFXACHA58BXgYWAtcDNwF/ABYCmwyTKNLTgh6T/n7frPgYa51k9ERKSW2Zt7MkyFlaICvX11OC1J0wNTfmhagvN39yJ3KWXEDU37KRGa7M09J4vUodvd72v25p7+M/su5185Wl9SwIZYPLEFwDKN3ThBZx1wTyye2GeZxsPAzyzTaHTXb4/FE8+75fcAN8biiZeAcXfdYsAEfrMM9RMREfE1e3NPCnjLXYoK9PbVAyuYPTR14vQGXeIupfZ1ksKQtBj4CM5tfHOB3r4/sDf3PDzHb6us5hyIYvHEVmArgGUaVwLXAhuAzwLDbrEB97EL56AM5+1iwF2X727g5Vg8sT1/pWUaUSBK6SFqIiIichbszT3jwBvuUlSgt68RJxzNFpragVacHqLLi+wmCDwU6O37aSW1FJVtfI5lGt3AJuDBWDzxjGUaxYqV6nOcXO+2Iv0LnG636b5I3jij/sH1dIZnmUVURESk1nyh5N/SeWdfMfv2jB3k8eGr+O7xD7N5aA02JW9vEgJW4bQgVYRyDaruAh4HngC+5K4+ipMSwUmKAEfc9eflvbwVOJz3/A4gCfy4yFt9HfgmzuCxXWWouoiIiMzBYLaRx4avZtPJtfz98Hs4nm2d3BYmw3sbXuPpsUumh6Ms8PpC13U25RhU3Qw8CuwD7gXaLNPI4XSjfcIyjW04IWdHLJ4Yt0xjK3C3ZRrXAm3AhcA2d18hnKvVvhOLJ2bMUBWLJ5JA0jKNUhcoioiIyDx7I3kOm4bWsmloLdtGLiOTFycWhYZY3/wCt7Q+x4eaf0F7aISHj/8mnzl4dxanZSgL3FlJ3WVQnhaiW3GuHgOn9QdgL3AT8AiwE6c155PutkeBb+F0r6WBz8XiiVfdbb+NMwr+oTLUS0RERMogawd5evSSyRD0avLcgu2ro/u5peV5elue4/rGXYQDhfM/frpjC585ePf5ON1kr1daGAII2Hb1TSVgmcYKoP/bK3dqDJGIiMg8OJlt4KfDV7NpaC2PDl3DsbyusBBZbmp6hVtanuOWludYFX371Du8f8+83pBtIhsA3bF44sCZvl6THoqIiAgAb6aWOK1AJ9eydfRy0vbUDW4XhYa4uflFbml5jg+3/Jz20IiHNS0/BSIRERGfytpBdoxezKahtWweWsMrycI7f1xcd8BpBWp9jhsaX53RFVZLFIhERER85GS2gX8YvmqyK+xotm1yW4gsNza+yi2tTlfYxdGDHtZ0YSkQiYiI1Li38rrCnpzWFdYeHObmlhfpbXmem1teYFGNdYWdLgUiERGRGpO1gzw7dhGbTjpXhb08rSvsoroD3NLyPLe0PMcNTa8SCWQ9qmnlUCASERGpAUPZeh53u8J+MnQNR7Ltk9tCZLkhryvsEh91hZ0uBSIREZEqtTe1eHJuoCdHriCV1xXWFhzhwy3OVWE3N79IR3h4lj2JApGIiEiVyNkBpyvMHQ/0UvL8gu0X1h2anBvofU071RV2BhSIREREKthwtp7HR65k08m1/GRoDYfzusKCZLmhcRe3tDxHb8vzrI72E5jX6Q9rlwKRiIhIhdmX6mLz0Fo2Da3hiZGegq6w1uAIH27+Obe0Ol1hneEhD2taOxSIREREPJazAzw/tmpyPNAvx99VsP2CyNuTA6Lf17iTuqBuW1VuCkQiIiIeGMlFnavCTq7lJ8PX8E5m0eS2IFmua9w9OR7oUnWFzTsFIhERkQWyP9XF5qE1bBpayxMj7yZp101uawmOOl1hLc9xc8sLdKkrbEEpEImIiMyTnB3ghbELJ7vCfjF+QcH2d+V1hd2krjBPKRCJiIiU0Wiuji3DV07eMPXtTMfktgC5gq6wy6L71RVWIao6EN2997LuWDxxwOt6iIiIvwV6+1YAvcAtwG8A9Xmbh4GfAptsgo8+9eOPHYGPeVBLmU1VByIREREvBHr7gsB7cALQLcDV04rsBTa5y1Z7c09yYWsoZ0qBSERE5DQEevsacVp/bsFpDVqWt9kGdjAVgl6xN/fYC15JOWsKRCIiIiUEevuWM9UV9psUdoWN4HaFAY/am3sOL3wNpVyqOhAleh7oD3zjuNfVEBGRWmHbMJKGY+NwfGzm9mgIOuqhswHaok0EA78N/DZAsb9H9oYODZmuElUdiEREROYsa8PguBuCxiE17YaoLXVuCKqHxgi6LKw2KRCJiIj/pLJwbMwJQANJyOUN9wkGYFEUOhqcIFQX8q6esmAUiEREpPZN7wobThdun+gK62iA9qgTisRXFIhERKQ25WwYmK0rLDLVCtSkrjC/UyASEZHakco64ef4GJxQV5icPgUiERGpXhNdYcfHnTFB07vC6kJTA6Lb6iGkViApToFIRESqy0RX2HF3SU7rCmt2u8I61RUmp0+BSEREKt+pusLao87cQOoKk7OkQCQiIpXHtmE0PTUgeihVuF1dYVJmCkQiIlIZcrYzJ9DxMXWFyYJTIBIREe/M2hUGtNdPzQ8UVVeYzB8FIhERWTi2DaOZqVmiZ3SFBacui2+PQijoTT3FdxSIRERkfuVsGExOhaCiXWFuK1CzusLEGwpEIiJSfqksnHBniR4Yd26gOkFdYVKBFIhERGTuJrrCJgZEn5zWFRYJTl0Wr64wqUAKRCIicnYmusImBkWPT+sKa3K7wjrVFSaVryyByDKN+4DPA03AY8AdQCfwfWANsBv4VCye6LNMIwDc75ZJAw/E4ok/y9vXHwJ/DGRi8URPOeonIiJlks5OzRB9YlpXWICprrDOeojqf26pHnP+abVM44PA14D1wCFgC3APcBUwAlwOfAV4GFgL3AzcBXwAWApsskxjSyyeeMkyjXuBL+MEosfmWjcRETlLyQyMZaA+7ISe2brCJlqB1BUmVawc8T0FbIjFE1sALNPYjRN01gH3xOKJfZZpPAz8zDKNRnf99lg88bxbfg9wo2UarwL/Fvh3sXjikTLUS0REzsaBIdgzWHq7usKkBs05EMXiia3AVgDLNK4ErgU2AJ8Fht1iA+5jF7A4b/3EtsXApcAi4AbLND4P7AP+MBZPvDJR0DKNKBAFmudabxERwRkMPZZxWn5OJp0xQdPHAgG01UFXoxOE6tUVJrWnbD/Vlml0A5uAB2PxxDOWaRQrZhdb6a5f5H69E/gq8B+BvwSuyyv3RZwuNQD6B9fTGc7MreIiIj4ykovy7OhFbB9dzfbR1Tw9dgknsi2nfN0/LvrXvL/hZRjDWfzq/j1qDqtR5RpU3QU8DjwBfMldfRRod79udR+PuOvPy3t5K3DYXQD+IhZPHLFM478DfzXtrb4OfBNYBuwqR91FRGqVbcO+9OLJ8LN9dDW/HD+fLIXz/jQEkry34TVuaHqVi+sO8KkDf0yOqbFAIbKsih5a6OqLLKhyDKpuBh7F6eK6F2izTCOH0432Ccs0tuFcUbYjFk+MW6axFbjbMo1rgTbgQmAb8BrwK+BeyzS+DfwO8GL+e8XiiSSQtEzj1P/OiIj4TCoX5hfj72L76GqecgPQwUznjHLnRo5wfeOuyeXK+reIBKa6yTJ2mDsP3kWWECGyPLT8u3RHji3ktyKy4MrRQnQrztVj4LT+AOwFbgIewekC2wV80t32KPAtnO61NPC5WDzxKoBlGv8c+G/A3cALwKfKUD8RkZp0JNPK06OXTLb+PDe2inE7WlAmTIarG/ZwfeNurm/cxXUNuzm37miJPTo+3bGFD7X8nNeTy1gVPaQwJL4QsO1Sw3oql2UaK4D+b6/cqTFEIuILOTvAzuS5ed1fl/BaasWMcp2hkwWtP2saXqcxmCqyRzkrGkNUsSayAdAdiycOnOnrdamAiEgFGsrW8+zYxZNdXztGL2Ew1zSj3GXRfQUB6OK6g7oKXuQsKBCJiHjMtuGt9JKCwc994yvJTRv83BQc49caXpsMP9c27mZRaMSjWovUFgUiEZEFlsyFeXH8woLur7czHTPKrYwc5obGVycD0Lvr9xIO5DyosUjtUyASEZln72TaClp/nh9bRcqOFJSJBNK8p37PZPi5rnE3KyLHPaqxiP8oEImIlFHWDvJKweDn1byRWjaj3OLQwOSVX9c37uKahjdo0OBnEc8oEImIzMFgtpFnRi+eDD87xi5mKNdYUCZAjiumDX6+sO5tDX4WqSAKRCIip8m24Y3UOQWtPy8nz8Om8A7vzcExrm3YnTf4+Ve0hUY9qrWInA4FIhGREsZzEV4Yu9Cd+flSto9ewpFs+4xyF0TeLmj9uaJ+HyENfhapKgpEIiKuQ+lFBVd+vTB+Ielpg5/rAmnWNLw+Nfi5YTfnRAa8qbCIlI0CkYj4UsYO8tL4yoLur7fSS2eUWxo+UdD68576PdQH0x7UWETmkwKRiPjCQLaJHXmDn58Zu5jhXENBmSBZ3l1fOPj5XZF3NPhZxAcUiESk5tg2vJZaXtD99Upy5YxyrcERrsu79P29Da/RGhrzoMYi4jUFIhGpeqO5Op4fW1XQ/XUs2zqj3Kq6g5Ph54bGXVwa7dfgZxEBFIhEpAr1pzsLWn9+PnYBmWm/zqKBFGvzBz837mZJeNCjGotIpVMgEpGKlrZD9I2fPxl+to+uZl96yYxyy8LHC+77dXX9m9QFMx7UWESqUVUHorv3XtYdiycOeF0PESmfQG9fB3AdcL27vBdonFYsB/wS2O4uTx3KdOyL/+gueyHrKiK1o6oDkYhUt0BvXxC4GLiBqQC0ukjRAeBppgLQs/bmnuEFqqaI+IACkYgsmEBvXxOwlqnwcx3QUaTobqbCz3Zgl725R6OfRWTeKBCJyLwI9PYFgHOZCj/XA1cBoWlFx4BnmQo/O+zNPUcXrqYiIlUeiBI9D/QHvnHc62qICEDOhpE0nEzCyRTUhSCVnVmuLgStde4ShaZIA8HAOmDdRBF9rqUS2Rs6NEVnDavqQCQiHkpnneBzMuWEoOGUM9R5uuaIE3wmQlBUv3ZEpPLoN5OInJptw2jGCT5DbggaK3JJezg4FXxaotASgVBw4esrInKGFIhEZKZMzgk+Q6mpLrBskSvaG8JTXV+tdc5z3fhLRKqQApGI39k2JLNTXV8nU85YoOmCAWipK2wBiqj1R0RqgwKRiN/kbGe8z8T4n6EkpIoM/omGClt/miJq/RGRmqVAJFLrUtmp4HPS7Qab3vsVwBn83KLBzyLiT/qNJ1JL8gc/T3SBjRe59D1/8HNrFJrrIKTWHxHxLwUikWo2Mfh5IvwMlRj83BguvPS9XoOfRUTyKRCJVAvbdlp7TuZ1fRUb/BxyBz+35I3/CWvws4jIbBSIRCpVzp556Xu6yODn+lDh2B8NfhYROWMKRCKVIjXt0vfhUoOf6wqv/qqbfmswERE5UwpEIl6wJ+77lXfpe7HBz5HgVPiZ6AYLqvVHRKTcFIhEFkImVzjwudTg56ZI3uSHUac7TN1fIiLzToFIpNxsG8YzhTc+HS1y36+Jwc8TXV8tGvwsIuIVBSKRucpOzPycnApBmRKDn/MvfW/U4GcRkUpRlkBkmcZ9wOeBJuAx4A6gE/g+sAbYDXwqFk/0WaYRAO53y6SBB2LxxJ+5+/kI8CCwHHgW+GQsnthbjjqKlE0y/9L3JAyniw9+bsm755cGP4uIVLQ5ByLLND4IfA1YDxwCtgD3AFcBI8DlwFeAh4G1wM3AXcAHgKXAJss0tgAv4wSo7wD/FYi5+719rnUUOaVkBsYyzt3a829ZUTD42Q1ByVKDn/Naf5o1+FlEpJqUo4UoBWyIxRNbACzT2I0TdNYB98TiiX2WaTwM/MwyjUZ3/fZYPPG8W34PcCPwCpDFCVUHgEGgyMALkTJ7ewReOzH1fHkThIJTkx/mSgx+zr/0ParBzyIi1WzOgSgWT2wFtgJYpnElcC2wAfgsMOwWG3Afu4DFeesnti2OxRM5yzTuBP4Gp9tsALgi/70s04gCUaB5rvUWAZzBz/lhCODgSOHzUGDmpe8a/CwiUlPKNqjaMo1uYBPwYCyeeMYyjWLFivyr7ay3TKMB+HOcbrIf43SbfRW4M6/cF4EvTzzpH1xPZ1iNSHJmbBteGL+QjQPv5/snfp2BIvn6Q00vcGvbDq5v3MWl0X6Cgbwf3aEFrKyIVI4vlPwbdubu36Mm5QpTrkHVXcDjwBPAl9zVR4F29+tW9/GIu/68vJe3AoeBdwMrgD+PxRNHLNP4AU4Ayvd14JvAMmBXOeou/rEntZQfDdzExoF17E51522xcUZBO0Jk+cvu79AdObbgdRQREW+UY1B1M/AosA+4F2izTCOH0432Ccs0tuFcUbYjFk+MW6axFbjbMo1rgTbgQmAbTlhKuq/5a+AjwM7894rFE0kgaZlGy1zrLf5wLNPCjwdvYOPgOraPXjq5vj6QxGh9htvatnEw08EfHbyTLCFCZHlo+XcVhkREfKYcLUS34lw9Bk7rD8Be4CbgEZxQswv4pLvtUeBbON1raeBzsXjiVQDLNG7DuST/T3Euu/9MGeonPjOWq2Pz0Bo2Dqzj74ffQ9qOABAgx2809XF7+1b+WesOWkNjk69Z3/ICryeXsSp6SGFIRMSHArZdvi7RhWKZxgqg/9srd2oMkQCQswNsHbmcjQPv529OXsfJXNPktqvq93B7+1Z+p+1nrIgc97CWIiIujSEqu4lsAHTH4okDZ/p6zVQtVa1vfCUbB95PbOB99Ge6JtefFznMx9u2cVv7Nq6o3+dhDUVEpBooEEnV6U93Tg6Ofil5/uT6tuAIH217itvbn+TGxlcLrwwTERGZhQKRVIXBbCP/6+R1bBxYx5MjV2DjzANUF0jzT1qe5/a2raxveYH6YNrjmoqISDVSIJKKlcqFeWz4ajYOvJ+/G1pL0q6b3HZT48vc1r6Nf966nY7w8Cx7EREROTUFIqkotg3bR1ezcXAdPx68gePZ1sltl0b387vtT/Lxtm2srDviYS1FRKTWKBBJRdiVXMEPB9bxw4GbeDN9zuT6c8LH+Xjbz7i9/Umuqn9TtwsTEZF5oUAknnkn08b/HHgfGwfX8fzYRZPrm4Nj3Nr6NLe3P8mvN71MKJDzsJYiIuIHCkSyoIaz9SSGfo2NA+t4fPhKcoQA53YZH255kdvbtvKR1mdpDKY8rqmIiPiJApHMu4wdZMvwlWwcWMf/OXkto3b95LZfa9jN7e1b+WjbUywJD3pYSxER8TMFIpkXtg3Pj63ih4PriA28j8PZ9sltq+oOcnv7Vj7eto2Looe8q6SIiIhLgUjKak9qKT8cWMfGgXX8KrVicn1XaJDfaft/3N7+JO9teE2Do0VEpKIoEMmcneqO8re3b+W3mn9BJJD1sJYiIiKlKRDJWcm/o/yjQ9eQcX+UgmT5jaaXuK3IHeVFREQqlQKRnLasHXTvKL+O/zXtjvJX178xeUf55ZETHtZSRETkzCkQySlN3FH+RwPv48C0O8rf1raN29q3cnn9fg9rKCIiMjcKRFLU/lQXscH3zbijfHtwmI+2PcVt7Vt1R3kREakZVR2I7t57WXcsnjjgdT1qRaC3rx24FbgNeD8wcS1YCtgMbBzINT/60A/uS8J9ntRRRERkPlR1IJK5C/T21QE3A7cDtwDRvM3bgI3A39ibezQwSEREapYCkQ8FevsCwPU4IeijQEfe5p04IehH9uaevR5UT0REZMEpEPlIoLdvNU4Iug04P2/TIeBHOEHol/bmHg0MEhERX6nqQJToeaA/8I3jXlejsqWycGQUDo8Wrg8FoLMBljRCe3QZgcC9wL0AOqYyX+wNHZqjXEQqUlUHIikhm4NjY04IOpGcWh8AFtXD4kborIdQ0LMqioiIVBIFolph23BiHA6POWEol9fr1VLntAR1NUBdyLs6ioiIVCgFompm2zCcdlqCjoxCOje1rT7shKAljdCg0ywiIjIb/aWsRmOZqXFBY5mp9ZGg0x22pBGaI+iW8iIiIqdHgahapLNwZMwJQidTU+uDAWc80JJGaK93nouIiMgZUSCqZFkbjk8Mjh6H/Ivh26NOCOpsgLAGR4uIiMyFAlGlsW0YTDoh6OiYE4omNEecLrHFjRDV4GgREZFyUSCqFCMpJwQdHnPmDpoQDTktQYsboSniXf1ERERqmAKRl5IZNwSNwmje4OhwALrcwdGtdRocLSIiMs8UiBZaJud0hR0edbrGJgSADnfm6A4NjhYREVlICkQLIWfD8XHnCrFjY4WDo9vqYEmTMzg6osHRIiIiXlAgmi+27Vwef3gUjo5CJi8FNYanxgXV6xSIiIh4TX+Ny200PTUuKJk3OLoub9LEJk2aKCIiUkkUiMoh/47yw+mp9aGAc/+wxY3OvEEKQSIiIhVJgehsZfMGRw8UuaP8xOBo3VFeRESk4pUlEFmmcR/weaAJeAy4A+gEvg+sAXYDn4rFE31u+UuB3wNujsUTV+bt59eBvwC6gf/rvuZEOepYFpN3lB+FY+O6o7yIiEiNmHMgskzjg8DXgPXAIWALcA9wFTACXA58BXgYWGuZxs3AXwN7gBV5+4kAG4GHgB8Afwv8G+C+udbxjCUzzk1TG8JOuCl1R/mG8NS4IN1RXkREpGqVoz8nBWyIxRNbYvHEKzitQUuBdcDGWDyxDycMrbFMoxHY4W7/z9P2swpYDnwvFk+8CfwYuKkM9Tszb4/As2/DS0edx2cOwS8Ow8FhJwxFgrC8Ga5aAtcshZWtCkMiIiJVbs5/yWPxxFZgK4BlGlcC1wIbgM8Cw26xAfexyw1IWKYxfVeL3cf81yzOL2CZRhSIAs1zrXdRyQy8Nq2HLp1zxgV1Ne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WIgUhqIWPVLm7a9CoAzur7cbHFSFKJGIikFnLf1qN4aWwJS7s2sWLhY0WXI0mlYSCSWkitu+xtix+gpzJebDGSVCIGIqmF3LD9dvsfF1uIJJWMgUhqEZvH53Hb5hMAJ2SUpLlmIJJaxG2bTmSk2sthPc/zinlPF12OJJWKgUhqETds2tFdVqkUXIwklYyBSGoRN2zMJmR0/iFJmnsGIqkF/HJ0KfdtPQaAtzt+SJLmnIFIagG1yRj7F/yc5T3rCq5GksrHQCS1gNrt9u9YbHeZJBWhp+gCVB6VK1+sNuN9qpfs11FDjqvV+vXL7C6TpCLYQiQV7GcjB7N620H0VrZx+uKfFl2OJJWSgUgqWO12+zctXMniruGCq5GkcrLLTO3n0qOb0vXGFY+3RNfb9vFDdpdJUmEMRFKBxqpd2+8wc/0ySWUThcFBwDnAecC5cZI+EIXBCuDLwEnAI8BFcZLePum8LuAq4HygAvwT8LE4ScdmWotdZlKB7t1yNC+NLWFZ1yZOXfizosuRpDkThcESYDVwNnByvq8L+DZwB3AscD/wjSlO/xBZGHoX8GtkgersRuoxEEkFqo0fetvin9BTGS+4GkmaU1uAI4Cobt8i4FvAlXGSPgXcBCyf4txfAp+Mk/Q/4yS9A1gzzXF7zC4zqUDXO35IUufpi8Jgad32cJykO90xEifpKLAmCoMj6/ZtBC4FiMKgB7gAuHaKc9Pa8ygMfpUsDP1LI0XbQiQVZPP4PG7ffAIAZxmIJHWOh4F1dT+XzfB9rgH239X5URj0AzHwe3GSPjHDzwFsIZIKc9umExmp9vLy3l9y3Lyniy5HkprleOCZuu29nk8kCoOrgLOA0+IkXT/NMccA/wH8VZykX5lJofUMRFJBrt9UW67jfiotMQGAJDXFxulCzJ6IwuBS4EKyAdProzDYJ3/P0SgMuuMkHYvC4BDgeuC7wF/kx4zmXW4zYpeZVJDa/EN2l0nSBJcDy4A7gZfyn9OiMAiBe/JjLgSOIrvTrHbMYCMfaguRVIBfji7lx1uPBuDMPhd0lVRecZKuIptLqLa9qzbzJD/mj4E/bmYdthBJBbhxYz8A/Qt+zvKedQVXI0kyEEkFqM0/dNZiu8skqRUYiKQ5Vq06/5AktRoDkTTHHhs5hCe2HcS8yjbesvjBosuRJGEgkuZc7e6yNy16mMVdez09hyRpFhiIpDl2Q938Q5Kk1mAgkubQWLWLmza+CnD8kCS1EgORNIfu2XIMa8f7WNa1iRULf1Z0OZKknIFImkO18UNn9g3RXRkvuBpJUo2BSJpDN2zKJmR8x2Jnp5akVtLQ0h1RGPQAnyNbUwSydUQ+DBwEfBNYAawEPhgn6VAUBqcB/wxsBN4bJ+nKRj5faiebx+dx++YTAMcPSVKraXQts98hC0ADwAvA98nC0WnAJuAksrVGvg68FvgUcAlwBHBRFAaXAH8DXBgnabXBWqSW9oNNJzJS7eXw3jUcN+/posuRJNVpqMssTtJvxkm6X5yktwPPAiPANuAM4No4SZ8gC0MrojBYlH/ek8DTQDdwBXC7YUhlsON2+yEqu1q6UJI055qy2n0UBkPAicDNwJeBL5F1iwGszR8PyPd/hyw4fR54XZykH5/mPecD84G+ZtQoFe36jScDdpdJUitq1qDq9wDvAl4NfGCaY6pxkl4H7E8Wnn4LuC4Kg1VRGAzmAajeZcA64OEm1SgVZ2SM+7ceBcDb+xxQLUmtpqFAFIVBfxQGZ8VJ+mScpDeSjSF6K/A8sE9+2NL88ZcAcZKOAVcDnwEuBj6av/6eSW9/ObAMOL6RGqWWsDZbouPVC37OQT3rCi5GkjRZoy1Erwa+HYXBG6IwOAl4I3AfcAvw/igMDgfOB+6Mk3QrQBQGZwDP5a1F3WRdapvz59vFSTocJ+l6dnS9Se3rhc0AvH6BN1ZKUitqNBBdC1wD/Btwa/74JeCTZOOTHgROIbsTDYA4SW8haxmCbFD1d4HDgOsarEVqTc9shOe3AvDVte/k6y++o+CCJEmTNTSoOr877A/yn3pPAGfu5jziJL2WLFRJnWl4FB5bu32zShcfefqjvGvJfRzW+0JxdUmSJnCmamk2bRndadcY3Tw2fEgBxUiSpmMgkmbTwp0bYbsZ49j5zxRQjCRpOgYiaTbN74GeHbMwdjPGNYdebXeZJLWYpkzMKGkaw6Mwmk3E/r8P/xP6F642DElSCzIQSbNp3Uj22NfLe5beW2wtkqRp2WUmzaZ12YSMLJs8EbskqZUYiKTZtD4PREsNRJLUygxE0mzZNgab89vul80rthZJ0i4ZiKTZUhs/tKgHert3fawkqVAGImm22F0mSW3DQCTNFgdUS1LbMBBJs2F0HDZuy547fkiSWp6BSJoNG/LxQ/O7s9mqJUktzUAkzQa7yySprRiIpNlgIJKktmIgkpptvLqjy2yp44ckqR0YiKRm2zACVaC3CxY6fkiS2oGBSGq2+u6ySqXYWiRJe8RAJDWbEzJKUtsxEEnNVK3C+nz8kPMPSVLbMBBJzbRxG4xVobsCi3uLrkaStIcMRFIz1XeXOX5IktqGgUhqpu0Dqu0uk6R2YiCSmqVahXW18UMOqJakdmIgkpply2i2qGsX0GcLkSS1EwOR1Cy17rIl86HL8UOS1E4MRFKzrPN2e0lqVwYiqVmckFGS2pYLLUnNsHUUhsegggu6StIeisLgIOAc4Dzg3DhJH4jCYAXwZeAk4BHgojhJb5/i3COAc/NzT4mTdGMjtdhCJDVDrXWorxe6/WslSbsThcESYDVwNnByvq8L+DZwB3AscD/wjSnOPRF4CHhfflzD/Jdbaoba+CG7yyRpT20BjgCiun2LgG8BV8ZJ+hRwE7B8inNXA4cAn2pWMXaZSc1Qv8K9JJVbXxQGS+u2h+MkHZ58UJyko8CaKAyOrNu3EbgUIAqDHuAC4Nopzt2UH9O0om0hkho1MpbNQQS2EEkSPAysq/u5bIbvcw2wfwPn7xVbiKRG1cYPLeqFXn/HkFR6xwPP1G3v1Dq0O1EYXAWcBZwWJ+n6ZhW2KwYiqVHOPyRJ9TY2EmKiMLgUuBB4F7A+CoN98vccjcKgO07SsSbVOYG/zkqNcvyQJDXT5cAy4E7gpfzntCgMQuCe2fpQW4ikRoyOw6Zt2XPHD0nSXouTdBXZLG617V2tfZRMOvfm+nMbYQuR1Ija+KEF3TC/u9haJEkzZiCSGrG+Nn7I1iFJamcGIqkR61y/TJI6gYFImqmxKmywhUiSOoGBSJqpDSNQBeZ1ZWOIJElty0AkzdT6uu6ySlNucpAkFcRAJM2U8w9JUscwEEkzUa3W3WHmDNWS1O4MRNJMbNwG41XoqWRrmEmS2pqBSJqJdY4fkqROYiCSZmK944ckqZMYiKS9Va3uWOF+qeOHJKkTGIikvbV5NFvUtasCfQYiSeoEBiJpb20fPzQvC0WSpLZnIJL21nrXL5OkTmMgkvZG/fgh5x+SpI5hIJL2xvAYjIxBBVhiIJKkTmEgkvZGbfxQ3zzo9q+PJHUK/0WX9sb29ctsHZKkTmIgkvbG9vXLHFAtSZ3EQCTtqZEx2DKaPfcOM0nqKAYiaU/VussW90KPf3UkqZP4r7q0p9a7XIckdSoDkbSn1rmgqyR1KgORtCdGx2HTtuy5gUiSOo6BSNoTteU6FvbAvO5ia5EkNZ2BSNoT9Qu6SpI6joFI2hPrnH9IkjqZgUjanbFx2GggkqROZiCSdmfDCFTJxg7Nd/yQJHUiA5G0O9u7y+ZBpVJsLZKkWWEgknandoeZy3VIUsfqKboAqZVVBoZ66cpbhRw/JEkdyxYiaddew3g1W7tskb8/SFKnMhBJu3Y64PghSepwBiJp194COH5IkjqcgUiaRmVgqAs4DXD8kCR1OAORNL2TgH3pqkBfb9G1SJJmkYFIml42fmip44ckqdMZiKTpZeOH7C6TpI5nIJKmUBkYqrC9hchAJEmdzkAkTe0Y4BBghCXziq5FkjTLDETS1N6SP/6IbscPSVKnMxBJUzs9f7y10CokSXPCQCRNrdZC9INCq5AkzQkDkTRJZWDoULIxROPADwsuR5I0BwxE0s5qrUP3Vwf71xVaiSRpThiIpJ05fkiSSqan6AKkFuT4IUmaA1EYHAScA5wHnBsn6QNRGKwAvky2fNIjwEVxkt4+xbm/D/wB0Av8PXBJnKTVmdZiC5FUpzIwtB/wqnzTQCRJsyQKgyXAauBs4OR8XxfwbeAO4FjgfuAbU5x7EvB54HzgvcDHgPc0Uo+BSJrozfnjyupg/5pCK5GkzrYFOAKI6vYtAr4FXBkn6VPATcDyKc49HXg0TtLvxUl6F9kNMKdPcdwes8tMmsjxQ5LUmL4oDJbWbQ/HSTo8+aA4SUeBNVEYHFm3byNwKUAUBj3ABcC1U3zGgcDGuu21+b4Zs4VImsjxQ5LUmIeBdXU/l83wfa4B9t+L82c8fgia1EIUhcGngE8Ai4HryPr09ge+CawAVgIfjJN0KAqD04B/Jkt2742TdGUzapAaVRkYWgycmm/aQiRJM3M88Ezd9k6tQ7sThcFVwFnAaXGSrp/ikOeBfeq2lwKP7u3n1Gs4EEVhcBbwObLBTM8ANwC/RzZAahPZKPE/Br4OvBb4FHAJWb/hRVEYXAL8DXBhI6PDpSZ4A9nfiV9UB/tXF12MJLWpjdOEmD0ShcGlwIXAu4D1URjsk7/naBQG3XGSjpH90vrFKAwGgGeBNwFfaKToZnSZjZDd6nZDnKQ/JWsNWg6cAVwbJ+kTZGFoRRQGi/LPfBJ4GugGrgBuNwypBTh+SJKKdzmwDLgTeCn/OS0KgxC4ByBO0gfIeqa+AnwX+GKcpP/RyIc23EIUJ+ktwC0AURi8muy37EuAi9kx4Glt/ngA8CXgO2RB6vPA6+Ik/fjk943CYD4wH+hrtEZpDxmIJGmOxUm6CqjUbVemP5qk7ri/BP6yWXU0bVB1FAaHAf8GfCG/BW4q1ThJryMbX3Qi8FvAdVEYrIrCYDAPQTWXkQ3GerhZNUrTqQwMzSML8+CAakkqnaYEoigMDgCuJ5sv4DP57voBT7Xb734JkPf/XZ0fezHw0fz1+kmVak1mxzejRmk3VgALyL63hnBJKpmGA1EUBn3AvwNPAJ8EluXzD9wCvD8Kg8PJ7jq7M07Srfk5ZwDP5a1F3WRdapvz5wDESTqcD8qqn2dAmi3bb7evDvY7nk2SSqYZLUS/SXb32DvJfrt+CRgiC0c9wIPAKcCHayfk444uzjevIBsQdRjZLftSERw/JEkl1oxB1d8km29oKmfu4rxq/ngtU89CKc2JysBQNzuW7HD8kCSVkDNVS9lirsuADWQLCUqSSsZAJO0YP/TD6mD/aKGVSJIKYSCSHD8kSaVnIFKpVQaGKrigqySVnoFIZXcc2VIzw8CPCq5FklQQA5HKrtY6dHd1sH9roZVIkgpjIFLZOX5IkmQgUuk5fkiSZCBSeVUGhl4OHAWMAz8suBxJUoEMRCqzWuvQvdXB/g2FViJJKpSBSGVmd5kkCTAQqdwcUC1JAgxEKqnnR5cAnJhv3lZgKZKkFmAgUindtrmWhXiwOtj/fJG1SJKKZyBSKf1g0/ZA5PghSZKBSOV0644WIscPSZIMRCqfDWMLuG/L0bVNW4gkSQYilc8dm49njG6AVdXB/l8UXY8kqXgGIpXODzY7fkiSNJGBSKVz6ybHD0mSJjIQqVSGx3u4a8srapu2EEmSAAORSuZHW45juDqPg7rXAjxScDmSpBZhIFKp1MYPvWXxg1QH+6sFlyNJahEGIpVKbfzQ6Yt/WnAlkqRWYiBSaYxVu7h98wkAnL7owYKrkSS1EgORSuP+rUeyYXwRS7s28aoFq4suR5LUQgxEKo1bN50EwGmLHqK7Ml5wNZKkVmIgUmnUD6iWJKmegUilUK3CDzbl44ccUC1JmsRApFJYOfIyfjm2Dwsqw6xY8LOiy5EktRgDkUqhNn7oDYseYV7XaMHVSJJajYFIpfCDfP6ht3i7vSRpCgYilcKtm52QUZI0PQOROt7qkQN5YttBdDPGGxa6fJkkaWcGInW82u32py78GX3dWwuuRpLUigxE6niOH5Ik7Y6BSB3P8UOSpN0xEKmjrRldxsPDLwfgzYseLrgaSVKrMhCpo92Wz079yvmr2b9nQ8HVSJJalYFIHe3WzdmEjHaXSZJ2xUCkjuaAaknSnjAQqWOtH1vIj7ceCbjCvSRp13qKLkCaLT/cfDzjdHN077O8rPfFosuRJE0ShcFBwDnAecC5cZI+EIVBD/Bu4APAyjhJPz3FeV3AF4APAi8Bl8VJGjdSiy1E6li1BV0dPyRJrScKgyXAauBs4OS6l/4R+HPgNGD+NKefRxaYzgR+H/j7KAyObKQeA5E6Vm2GarvLJKklbQGOAKJJ+z8eJ+krgF3NlfJ64PY4Se+Jk/Q7wOPAOxspxi4zdaSt473cveU4AE5fZAuRJM2hvigMltZtD8dJOjz5oDhJR4E1k1t24iR9Zg8+4+fAr0dhcCCwD3AAcNCMK8YWInWou7ccx0i1l4N7XuSYec8WXY4klcnDwLq6n8tm4TO+DPwCeAb4N2Be/nzGbCFSR9o+fmjRg1QqBRcjSeVyPBPDyU6tQ42Kk3Qd8PooDPYHqsBzwE8aeU8DkTqS44ckqTAb4yRdPxtvHIVBd5ykY/nzhcDhwOXAzXGS3t3Ie9tlpo4zWu3ih5uPB7zDTJI6RRQGIXBP3a5PAN8ja4367Ubf3xYidZwfbz2KjeML2adrI6+c/0TR5UiSdiFO0lXAToMb4iR966TtBEjqtj8HfK5ZddhCpI5TGz902uKH6KpUC65GktQODETqOLVA5PplkqQ9ZSBSRxmvVrht8wmA44ckSXvOQKSO8tDwYbwwtpRFla28ZsHjRZcjSWoTBiJ1lNrt9m9Y9AjzukYLrkaS1C4MROooLugqSZoJA5E6RrUKt27KJ2R0QLUkaS8YiNQxVm07iKdGD6CHUd6waGXR5UiS2oiBSB3jB3nr0IqFj7Goa6TgaiRJ7cRApI5x6+ba+CG7yyRJe8dApI7xA8cPSZJmyECkjvDstn14ZORlVBjnzYsfKrocSVKbMRCpI9Rmp37VgtXs272p4GokSe3GQKSOsH3+IbvLJEkzYCBSR6jNUP0WB1RLkmbAQKS2t3ZsMfdvPRJwQLUkaWYMRGp7t28+nipdHDvvaQ7pfanociRJbchApLZXu93e8UOSpJkyEKntuaCrJKlRBiK1tc3j8/jPrccADqiWJM2cgUht7a7Nr2BbtZeX9TzPUb3PFV2OJKlNGYjU1upvt69UCi5GktS2DERqa07IKElqBgOR2ta2ajd3bP4VwPFDkqTGGIjUtu7dcjSbqwvYr3s9J87/RdHlSJLamIFIbas2fui0RQ/RVakWXI0kqZ0ZiNS2dsw/ZHeZJKkxBiK1pfFqhds2nwC4fpkkqXE9RRcgzcRPhw/npbElLO7awikLHy+6nM516dHN64u84nEnRpDUsmwhUluqrV/2xoUr6a2MFVyNJKndGYjUlm7NB1Q7fkiS1Ax2mantVKs7BlQ7fmhqlStfbEpXl/fuSSoLW4jUdh4fOZhnRvejt7KN1y96pOhyJEkdwECktlPrLnvdwkdZ2DVScDWSpE5gIFLbqQ2otrtMktQsBiK1nVs3OyGjJKm5DERqL8Nj/GzkECqM86ZFDxddjSSpQxiI1F5e2ALAifOfYFn35oKLkSR1iqbcdh+FwUHAOcB5wLlxkj4QhcHhwDeBFcBK4INxkg5FYXAa8M/ARuC9cZKubEYNKoFnN8HP1gLw4PARfP3Fd/Ch/W4otiZJUkdouIUoCoMlwGrgbODkupc+D2wCTgJ+Anw93/8p4BLgH4CLojBYEIXBV6MwcFp/TW94FB59aftmlQofefqjPLlt/wKLkiR1imZ0mW0BjgCiSfvPAK6Nk/QJsjC0IgqDRflnPgk8DXQDVwC3x0nqHHCa3pbRnXaN0c1jw4cUUIwkqdM03GUWJ+kosCYKgyMnvXQgWbcYwNr88QDgS8B3gBGyVqTXxUn68cnvG4XBfGA+0NdojeoA28Z32tXNGMfOf6aAYiRJnWauB1VX4yS9DtgfOBH4LeC6KAxWRWEwmIegmsuAdYC3EpXdeBVWr5+wq5sxrjn0ag7rfaGgoiRJnWQ2A9HzwD7586X54y8B4iQdA64GPgNcDHw0f/09dedfDiwDjp/FGtUOnlifdZn1dsEpy/n+kZ9h1a9c6IBqSVLTzGYgugV4f3632fnAnXGSbgWIwuAM4Lm8taibrEttc/4cgDhJh+MkXc+ObjeV0aYReHJD9vyYfaCvl7f2PWDLkCSpqWYzEH2SbIzSg8ApwIdrL8RJegtZyxBkg6q/CxwGXDeL9ajdVKvwyEvZkuv7L4ADFhZdkSSpQzVlHiKAOElXAZW67SeAM3dxfDV/vBa4tll1qIM8tRE2boPuChyzL1ScmUGSNDucqVqtacvojoHUR+8D87t3ebgkSY1oWguR1DTVKjz2UnZ32bL5sHxR0RVJkmbBNCtd9ADvBj4ArIyT9NPTnPtZ4GPAArLpfC6Mk3RkprUYiNR6ntsMa4ez9svj7CqTpE5Ut9LFj5m40sU/ko09Xgqsmubck4E/AQby9/gBcBvwtZnWYyAqu0uPbs4M4Vc83pzUMjIGP1+bPT9iGSz0KypJHaq20sUi4Od1+z8eJ+kzURjcvItza/93rQZ+AQwDOy9psBf836YNVa58sWnLnLTceimPrYXRKvT1wsucpFyS2lBfFAZL67aH4yQdnnzQdCtdxEm62yUI4iS9PwqDLwL3A+PArWQLys+Yg6rVOp7fAi9syZ7bVSZJ7ephspUmaj+XNfsDojB4DXABEAJvB14N/HYj72kLkVrD6Dj8LF/N/uVLoG9esfVIkmbqeKC+lWen1qEmeAfweJyk3waIwuBG4FeBeKZvaCBSa/j5OhgZz8YMHb5098dLklrVxnyliaaLwqA7X/7rQeCYKAzeCqwB3kS2ePyM2WWm4q3dCs9uyp4fty902VUmSZooCoMQuAcgTtJB4P8F/gn4IXAj8JeNvL8tRCrW2Dg8mneVHbw4m3dIklQak1e6qNv/1knbCZDUbX8W+Gyz6rCFSMV6Yj1sHYN53XDUsqKrkSSVlIFIxdkwAk9uzJ4fuw/0+HWUJBXD/4FUjPHqjq6yAxfC/q5kL0kqjoFIxXhqA2zalrUKHb1P0dVIkkrOQKS5t3lb3Ur2y7LxQ5IkFchApLlVzbvKqsC+8+EgV7KXJBXPQKS59cwmWD+SzTV0rMtzSJJag4FIc2d4FFaty54fuRQWOA2WJKk1+D+S5kRlYKjCfgtgrApL5sGhrmQvSWodthBprpzNi1uzuUhdyV6S1GIMRJp1lYGh/YG/BuDlS2Fxb7EFSZI0iYFIc+EvgANZ1AMvX1J0LZIk7cRApFlVGRh6N3AuUHUle0lSqzIQadZUBob6gGvyzb9iqSvZS5Jak4FIs+lzwOHAKuAzxZYiSdL0DESaFZWBoTcCF+ebH6kO9m8qsh5JknbFQKSmqwwMzQe+TnaT/Terg/3fK7gkSZJ2yUCk2fDfgROANcAnCq5FkqTdMhCpqSoDQ68ELss3L64O9r9YZD2SJO0JA5GapjIw1A18DegF/hVIiq1IkqQ9YyBSM10MvB5YD1xUHeyvFlyPJEl7xECkpqgMDB1Fdps9wB9WB/ufKrIeSZL2hoFIDatm7UDXAIuAW4GvFlmPJEl7y0Ckhv3D2rcBnAUMAx+uDvaPF1uRJEl7x0Ckhjw3uozff/aDtc0/qg72P1JkPZIkzYSBSA35b09/mJfGlgDcB3yh4HIkSZoRA5Fm7F/Xv5Z/Xn8a3YwBfKg62D9adE2SJM2EgUgzsm5sER99+v8G4A8OSKkO9t9XcEmSJM2YgUgz8ofPnsfTo/tz3Lyn+KOD/qnociRJaoiBSHvtlk0n8ZWX3gXAV1/2tyzsGim4IkmSGmMg0l7ZMj6PC576XQAu3Pc/OGPxTwuuSJKkxhmItFf+eM3ZPDZyKIf2vMBVB3+z6HIkSWoKA5H22L1bjubzzwcA/O2h17Cse3OxBUmS1CQGIu2R0WoXFzz1u4zRTbj0dt639O6iS5IkqWkMRNojX3j+fdy39Rj27d7A3xz6laLLkSSpqQxE2q1Hhw/hf675bQD+4uC/Y3nPuoIrkiSpuQxE2qXxaoUPP/W7bK3O55199/H+fb5fdEmSJDWdgUi79LWXzuKWza9kUWUr1xx6NZVK0RVJktR8BiJN66lt+/GpZ88D4HPL/5Ej560puCJJkmaHgUhTqlbhoqc/wvrxxbx+4Uou3v9/F12SJEmzxkCkKSXr38y/bng9vZVtfO1lX6K7Ml50SZIkzRoDkXbywugSLn76wwBcdsC/8MoFTxRckSRJs8tApJ188tnzWTO2DyfM/wX//cD/v+hyJEmadQYiTfC9DSfzzbVnUmGcr7/si8zvGi26JEmSZp2BSNttHFvAR57+KAAf2+/feeOilQVXJEnS3DAQabvPrjmHVduWc3jvGv5s+bVFlyNJ0pwxEAmAuzYfx1+9MADANYdeTV/31oIrkiRp7vQUXYCKNzLewwVPfYwqXZy7z/d595L7ii5JklQCURgcBJwDnAecGyfpA1EY9ADvBj4ArIyT9NNTnHczcMak3TfGSfqOmdZiIBJXPP8bPDB8BAd2r+UvDv67osuRJJVAFAZLgNXAj4GT6176R+AUYCmwaprTB9iRYSrA3cC3G6nHQFRyD249jD/9ZQjAXx/yNfbv2VBwRZKkktgCHAEsAn5et//jcZI+k7cCTSlO0o2151EYDAAHAN9spBgDUZltHSV84g/ZVu1lYMmPOHvZbUVXJElqf31RGCyt2x6Ok3R48kFxko4Ca6IwOHLS/mf28vM+BXw1TtJNe11pHQdVl9Wzm+BHz/LgyOFAlTMWPeBK9pKkZngYWFf3c9lsfVAUBq8D3gx8sdH3MhCVzcgYPLcRHn2pbmeFS597P09u27+wsiRJHeN4YFndz+Wz+FmfAr4TJ2nDa0zZZdapqlUYGYeNI/nPtuxxZOpFWsfo5rHhQzis94U5LlSS1GE2xkm6fjbeOAqD7jhJx/LnxwC/AZzejPc2EHWCahWGx3aEntrjtmlWqF/QDVvHJuzqZoxj5+9tt60kSXMjCoMQ+DQ77kj7BHBvnKS3N+P9DURtpjIwVGHFwRODz8ZtMDpN+FnUC3290DcPlvTC4l7o7srGEOXdZt2Mcc2hV9s6JEmac3GSriK7dX7y/rdO2k6ApG77d5tZh4GohVUGhrqAY4DXAKfmj6/hP5+d4mAmhp++Xlg8D7qnGSl98GLYdz7fX3MBx85/xjAkSSo1A1GLyMPPK9gRfk5lx8RUkw4ma+mpBZ++edl2117eJja/h7f2PdBo6ZIktT0DUQEqA0PdZKPwa60+p5L1ifZNcfgwcD9wD3AvcA9vetm9ex1+JEnStAxETVAZGDoMOA54tDrY/+Sk13qBE9g5/Cyc4q22kE1hviP8wEPVwf5tE97zyheb+weQJKnkDEQNqgwMfQj4CtmcTuOVgaE/BX7BjgDUDyyY4tRNwH1MDD8rq4P9o3NRtyRJ2sFA1IC8ZagWhsgf/8cUh25gR+ipPT5aHewfm+JYSZI0xwxEjTmOqWf7vhe4kR3h52fVwf5p7ouXJElFMxA15lFgnImhaAx43+SxRJIkqXW5llkD8tBzIVkIIn/8iGFIkqT2YiBqUHWw/+vAkcDbgCPzbUmS1EbsMmuCvEXIViFJktqULUSSJKn0DESSJKn0DESSJKn0DESSJKn0DESSJKn0DESSJKn0DESSJKn0DESSJKn0nJixWS49utqU97ni8UpT3keSJO0xW4gkSVLpGYgkSVLpGYgkSVLpGYgkSVLpzeqg6igMzgYuB/YFvgN8FPh/8sd/A34nTtLmDEaWJEmaoVkLRFEY7A98A/hd4C7gBuAPgAh4PfAPwMlRGCwBjo+T9CuzVcuuVK58sSmBzFQnSVL7ms0us9cBFeDv4yR9EPh34K3AFmAVsB7YD/g8kM5iHZIkSbs0m11mBwKb6rrE1gJHA7cA64CbgAuAP42TdM3kk6MwmA/MB/ryXcujMGh6kQv6P9+U93lhtDmX8mNh8LLdHdOsmqE9657LmqE96261mmHPr7ektrW86AIaUalWZ6ezJwqD9wN/HifpAfn254FT4iR9exQGvcBvAm8HuoGzgD+Lk/TquvP/J/BHs1KcJEmaLafGSXpv0UXsrdlsIXoeWBKFQVecpOPAUqDWEnQw8EngE8Cfk40rSoCr686/PH8N4ATgyVmstUh9wMPA8cDGgmtpBV6PibweO/OaTOT1mMjrMdFcX4/lwH1z8DlNN5uB6G5gDPhIFAbfB34V+NP8tf8BXAyMAiPAC2TjjbaLk3QYGM4375rFOgsVhcHS/OkzcZKuL7SYFuD1mMjrsTOvyURej4m8HhMVcD2emoPPmBWzNqg6TtLngfOBPwTuAL4H/H3+8oVxkt4J3As8Rxae/nq2amlxw8AfsyP8lZ3XYyKvx868JhN5PSbyekzk9dhDszaGSJIkqV04U7UkSSq9WZ2puqyiMDgIOAc4Dzg3TtIH6l7rAr4AfBB4CbgsTtI4f60f+DvgV4D/BM6Lk/SJfAqCvwV+g2z6gsviJP1fc/cnakwD1+My4M/q3uqeOElXdMD1+BTZDQWLgeuA8+Mk3VT3+u+TTWLaS9bNfEmcpNUO/n7M9HqU9ftxBHAu2d+nU+Ik3ZjvL+v3Y7rrUbrvR/7v6VVkw1UqwD8BH4uTdKxTvx/NZAtRk+Uzb68GzgZOnuKQ84APAGcCvw/8fRQGR+avfQ24BzgJ2EYWFAA+BLwDeCNwJfB3URgcOCt/gCZr8HocAsRkS7/sSzaxJ7T39TgL+BzZP+BvBN4C/F7d6yeRTVZ6PvBe4GPAe/KXO/H70cj1KOP340TgIeB9wLGTTi/j92NX16N03w+yP9v5wLuAXyP79/Xs/LWO+340m4Go+bYAR5BNJTCV1wO3x0l6T5yk3wEeB94ZhcFC4LXAN+IkfYJsaZPT83POAL4bJ+nDwFfI5m5aMYt/hmaa0fXIXzsE+EWcpGvzn9oto+18PUbIWjhuiJP0p8BKJk5mdjrwaJyk34uT9C7gh8DpHfz9mNH1yF8r4/djNdmf+1P1J5X4+zHl9ciV8fvxS+CTcZL+Z5ykd5BNdbO8g78fTWWXWZPFSToKrKlr5Zjs58Cv5wl8H+AA4CCymb1hxzwRa+v2HQj8In//8SgMNtS91tIauB4AhwKnRGFwbn7cx+IkvY/2vh63kM3WThQGrwbeAFxSd8iBTJwrZG2+r1O/HzO9HlDC70dd18jkU0v5/djF9YByfj/S2vMoDH6VLCz9Cx36/Wg2W4jm3pfJvnzPAP8GzMufT2VXtwB2yu2Bu7oeV5HNVn4W2W8+/7CL92mr6xGFwWFkf94v5C0fuzLdn61jvh8zvB5+P3atrN+PmtJ+P/LxQjHwe3mL0FQ65vvRLAaiORYn6bo4SV9PltzfBCwCfkL2FxayVhKYOLP387X9URhUgCV1r7W16a5H/ue8B0jypuGvACdGYdBNm1+PKAwOAK4nW8/vM5Ne3v5ny9W+Bx37/ZjJ9Sjx92M6Zf1+THdOab8fURgcA/wH8Fdxkn4l392x349mMhAVIO/PPRz4FnBznKR3x0m6hWzk/wVRGBwO/Ffg5vyUW4D35AMIP0Q2w/eP5rzwWTLV9chfuhe4KgqDQ4DfAh6Mk3SMNr4eURj0Af8OPEG2fM2yuplkAW4Fjo7CYCAKgxVkIfHmTv1+zPR65K+V8fsxpRJ/P3aldN+P/M96PfBd4C+iMNgnCoO+Tv1+NJuBaI5EYbAqCoPz8s1PkM3c/Qzw23WHfYjsDoAHgQVks3xDdnfAd4HbgU+T3Wb54lzUPVt2dz3iJK2S3R1xJvAzsvXs/mt+fDtfj98kG9z4TrLfzF4ChmrXI5+S4BNkv9F+F/hinKT/kZ/bid+PGV2Psn4/dnNu6b4f051U4u/HhcBRZHeavZT/DObnduL3o6mcqXoO5M20a4HfjJP0ewWXUzivx0Rej4m8HhN5PSbyekzk9WgeW4jmxmvJFqi9sehCWoTXYyKvx0Rej4m8HhN5PSbyejRLtVr1Zw5+fvu/vK9SdA2t9OP18Hp4PbweXg+vRyv92GUmSZJKzy4zSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUegYiSZJUev8Hd0BuUT35SjUAAAAASUVORK5CYII=);} 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);} 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);} 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);} 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);} 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);} 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);} 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lwNnA6cFp21bNb7n4esCdwdDdjlCTtlE3VGnpdS4jiKDwTOAWIgLVxFO6VDZ8RR+HTgLuyatEIsBq4L/segEq1NpolUeu6FaMkaUqaQ2Z7BuXGrrlGInVJNytEzQrPNcCq7OspAJVq7WrSyhCkTdXfAQ4BruhiPJKkmVlN2vcJDptpSHVsc9dKtbYUCFqOJ51G35xVVqnWLmdbw7Ukqc8k9VISlBt3AQ8kHTZblnNIUse5UrUkaSpsrNZQMyGSJE2FU+811Do2ZCZJGmoDXyEKyo1DgKOAJUm9dFve8ai/WCGSJE3FQE+9D8qNU0l7n64ElgXlxmtyDkl9xoRIkjQVA7vjfVYZ+gTbPvPmAJdm5yXAhEiSNDWDXCE6ih0/70ZINx+XABMiSdLUDGyFCFjS5twYcGOvA1H/sqlaUxZccG/S7nzbk5KGzcBWiJJ66bag3Lgb2C87NQacamO1WlkhkiRNRbNCtCAoN/bINZJpCsqNvdmWDD0fODyplz6bY0jqQ1aIJElT8VdgA7Ab6bDZTfmGMy2Pyi6XJvXSN3KNRH3LCpEkaaeSeilhcIfNHpNd/ibXKNTXTIgkSVM1qI3VJkTaKRMiSdJUDWqF6NHZ5W9zjUJ9zYRIkjRVA1chCsqNPUnXIQIrRJqECZEkaaoGsULUbKi+JamXVuYaifqaCZEkaaoGccd7h8s0JSZEkqSpGsQd722o1pSYEEmSpmoQK0QmRJoSEyJJ0lRtrRAF5UaQayRTEJQbC4EHZ4cOmWlSJkSSpKlqVoh2AxbmGcgUHQsEwO1JvXTXTm6rgjMhkiRNSVIvrQfWZYeD0EfkcJmmzIRIkjQdgzT13hlmmjITIknSdAzS4oxWiDRlJkSSpOkYiApRUG7sARydHZoQaadMiCRJ0zEoU+8fSfoZd2dSLy3POxj1PxMiSdJ0DMrijA6XaVpMiCRJ0zEQQ2aYEGmaTIgkSdMxKE3VzjDTtJgQSZKmo+8rREG5sRvwsOzQCpGmxIRIkjQdWytEfbx9xyOBEWAFcHvOsWhAmBBJkqajmRDtAuyVYxyT2TpcltRLSa6RaGDMzTsAqV8FF9zb9hdpcsbifv2rWOq6pF66Pyg31gB7kg6brco5pHZsqNa0WSGSJE1Xv0+9NyHStFkhkjRUgnLjEOAoYElSL92WdzxD6k7gIfRhY3VQbuwKHJMdOsNMU2aFSNLQCMqN1wDLgCuBZdmxOq+fp94/gvSP/XuAW3KORQPEhEjSUMgqQ59i2++1OcCl2Xl1VnPI7HF9+Po2G6p/Y0O1psOESNKwOIodf6eNAEfmEMuwayZBL6f/KnHN/iGHyzQtJkSShsUSYHxFYAy4MYdYhlZWEXpBy6l+q8TZUK0ZMSGSNBSyBurWXc23AKfaWN1xRwHjl57oi0pcUG7sQtpDBCZEmiYTIklDISg39gYObjn1f5J66bN5xTPElpAmm636pRL3cGAe6dpIS/MNRYPGhEjSsHjCuONj2t5Ks5JV3F7XcmqM/qnEbe0fsqFa02VCJGlYPCm7bGSXTwjKDX/HdUFSL32abRWYl/VRJW7rDLNco9BA8peFpGHRTIguBdYDi9i247k678/Z5Z65RrE9Z5hpxkyIJA28oNyYCzw+O/wx8Kvs+yfmE1EhNHuG/ibXKDJBuTEPKGWHVog0bSZEkobBI4A9gLXAn4BfZOefNOE9NFt/yS77IiEirQbOB9awLTZpykyIJE0oKDcOCcqNp/fRGjMTaSY+v0jqpS3Az7NjK0Td028JUXO47Hc2VGsm3NxVqTOPaP8L5Pybxq83ooIIyo2TSbfCCIAtQblxSh81z47XTIiaidA12eVDgnJjn6ReuieHmIZdc8jsyKDcCPogCXFBRs2KFSJJO2jZF6yZEPfbasTjbZcQZQnQDdm58dPx1Rk3ZZd7AovzDCTjDDPNSkcqRHEU7k+6p81JwImVau26OAoPBT4PHEf6i+mfK9VaI47CpwBfBtYBz61UazdM9LiScjPZasT9sN7MVkG5cTBwOOligb9queoXwENIk6Vv9T6y4ZbUSxuCcuMO0sUw/4Z0d/lcZE31j8wOnWGmGZl1hSiOwoXAMuClwLEtV11IOvX1GOBaoFlqfztwBvAF4PVxFO4aR+Gn4yh0aEbqH3u3OdcvqxGP1+wTujapl9a2nLePqPu2DpvlGgU8FNgN+CvpStrStHViyGwDcBgQjzv/NODySrV2C2kydFwchbtnz3kbcAfpX5znAz+rVGt5jz9L2qb589z6c/n1PlmNeLzx/UNNzZlmj88qCOq8fmmsbg6X/S5rqpembdYJUaVa21yp1la0uWo/0mExgNXZ5b7Ax4GvkyZCtwCHVKq1y8bfOY7C+XEULgIWzDZGSVMXlBuHsm0382eS/qwCPCMoN/ppEb6miRKiP5FOw9+dbRt+qrP6JSFyQUbNWq+bqpNKtXYFsA/pmhEvAa6Io3BpHIX1OArnt9z2LNL1JK7vcYxS0Z1GWr29MqmXfgicDfwv6TDa2/IMbLyg3NiVbR+G2yVEWaWgOdvM9Yi6o98SIhuqNWPdTIhWAntl3y/KLu8GqFRrY8AlpL9oTyf9BQzw7Jb7n0c6e+HoLsYoqUVQbuwGnJIdfhQgqZfGSH9WAd4clBv75xHbBB5Durv5XcDNba7vWR/RAK3Z1Em59xAF5cYI2/pXTYg0Y91MiK4GXpnNNns1cE2lWrsfII7CpwF3ZdWiEdIhtfuy7wGoVGujlWptLduG3aT+cOYRSduv4fBy0inUS4F6y/mvA/9Duhr0O3of1oS2DpdNsA5OT1asDsqN15BOLrkSWJYdF0GzQnRgUG7skVMMDyEdFl3Ptv3VpGnrZkL0VtJp/X8CHgW8tnlFpVq7mrQyBGl/wneAQ4AruhiPpEkE5UYA/Et2+PGsMgRAlmw0E6HTsj6jfjBR/1DTL0kbwx8UlBsHdiOAljWbmr9P+33Npo5J6qVVwKrs8IicwmgOl/2+9T0rTVfHZl5UqrWltKxbks0uO2GS2yfZ5eXA5Z2KQ9KMPZV0c8z72LZMRqsfAFcBTwfeDeRaBckSuEkToqReWhOUG38EHk46bPb1LoRyFDv+cdmXazZ1yY3AY0n/vdfm8PwuyKiOcKVqSU3N6tD/zf7y3864KtGrgnLjIT2LrL0jgP2BjUw+u6jbfUTt1r3p1zWbuiHvxmpnmKkjTIgkEZQbhwFhdvixiW6X1EvXAN8g/d3xvu5HNqlmdeg3Sb10/yS363Yf0X2kCVBTApzap2s2dUNuCVFQbswhbckAK0SaJRMiSQCvJ/198MOkXvrjTm57NumHfhSUG4/eyW27aWf9Q4y7/rig3NilC3E8l3SI7K/Z8X3Al7rwPP0qzwrRUaRr1W3AJVo0SyZEUsEF5cbubJv08NGd3T6pl64Fvpgdvr9bcU3BVBOiJaT7bM1nWzWhk16YXX6IdMPTPdi2sGUR5Dn1vjlc9oekXtqcw/NriJgQSXo56aKLNzP1TVDfDWwG/iEoN57arcAmEpQbi9i2+vQvJrtt1vvUvE1H+4iCcmMB8Kzs8KukG1oDvKqTz9PnmhWiQ4NyY16Pn9sFGdUxJkRSgY2ban/xVKctJ/XSX4DPZIf/kT1OLz2edFbrzUm9tHwKt+9WH9E/klaebgSuI920GuCErC+rCJaTDlmNkO5r2UvOMFPHmBBJxfY00krLfcB/TvO+5wL3A08mTQx6aarDZU3dmmnWHC77WlIvJUm9tJR0aYIAOLHDz9WXsgpcs0rUs2GzrKG6mRA5w0yzZkIkFVuzOvT5pF5aPZ07JvXS7WybkfYf2QdUr0w3Ifo16UywQ4Jy44GdCCDbR62cHX6t5arLssuTcqic5SWPxuq/Id0WapR0AWBpVkyIpIIKyo3DgednhxfP8GEuIN1R/pFA1IGwdirbu+oJ2eGUEqKkXloP/CE77FSV6O9IZzjdRppwNX2NdBuJIynOprJ5JETN6tAfknppUw+fV0PKhEgqruZU++8n9dKM/sJO6qV7gAuzw/f1qKn2YaSVgXWkfTtT1ek+ouZw2deTemlL82RSL60Dqtnhqzr0XP2uOdOslwmRCzKqo0yIpALKNuKc8lT7nfgIcDfpmjCvmuVjTUUzofnlNKdad6yPKCg35rKtuva1Nje5LLt8abaswbDreQ8RzjBTh5kQScX0CmAv0nVzvjObB0rqpb8C/5Edvjvrremm6fYPNTUrRI8Oyo3dZhnDU4HFwErgp22u/wnpMgYLKcaaRM2E6Ihe9JJlvVnOMFNHmRBJBTPTqfY78UngVuABpENx3TTThGgpcBfpptaPmfymO9UcLvvvdlWqbAituSbRSbN8rkFwC2nT+q7AQT14vgeRJvQbgZ2trC5NiQmRVDxPB44hbfz9XCceMNtL7N+zw3dkCyd2XFBu7M+2YZlrpnPfbHp4M4macR9RVgHZOt1+kps21yT6u07NbOtXWVPz0uywF8NmzYT22qRe2tiD51MBzM07AEk9N+Op9jvxeeDfgAcDb2ZbgtRJzf6fP84w9l+QDmHNpo/o8aRVkLXADye6UVIv3RyUG1eTrvV0ItuGFYfVX0ibqv8GuLrLz+Vw2ZCIo3B/0tXyTwJOrFRr18VReBxp1fkY4M/A6yvV2s/a3PcG0t83TadXqrWZzpi1QiQVSVBuPAh4XnY4418c7WRDR+/KDt8alBv7dvLxMzMdLmvaWiGaxRpBzepQPamXRndy28uyy1cVYE2iXk69d4bZEIijcCGwDHgpcGx2bg5p5fUXpNXGPzBxJfsg0s2V986+PjWbeEyIpGJ5A+kqyt9L6qX/7cLjfwX4HWkz8blBufH0oNw4pIOPP9uE6DfAJmB/0j6UacmSmqkMlzV9hXRo8ig6v0p2v+nJ1Pvs/8AZZsNhA+l2L3HLud1JN4++oFKt3Q5cCRww/o5xFO5B+nvmL5VqbXX2NavhU4fMpILIptq/Jjuc7VT7tpJ6aUtQbrwT+DZwava1JSg3Tknqpc/O5rGDcmMX4LHZ4YwSoqReuj8oN35LOuz1JNJZdtNRAo4g3bLkiik837qg3PgK6XDAScw8kRsEvZp6fyjpDL/NwLVdfi7NzII4Clv7CEcr1doO1dRKtbYZWBFH4eEt59YBZwLEUTgXOBm4vM1zHNy8SxyF+5L+PL6xUq3dP9OgrRBJxfFPpDNz/sIsp9rvxPgPqTnApR2oFD2KdCPVe4Als3ic5vT7mVRsmtWhK7LVr6eiOdvsZR2Y7t/PejVk1qwOXTeFIUvl43pgTcvXWTN8nEuBfSa4/wrgTaSzWl9Jui7YG2b4PIAJkVQI46baf6x1ZeUuOKrNuRFmXznYOlyWzRibqdks0Pii7HIqw2VNV5P2SSwCwhk856BoVtv2CsqNxV18HofL+t/RwJ4tX+dN9wHiKPwA8EzgWZVqbW2bm2wGvlSp1n5eqdauJN1UuTTzkB0yk4riBNItL9axrdG3W5YAW9j+D64xtvWYzNRs+4eamhWiRwblxoJsq42dCsqNh5DOetkM1Kf6ZNkw4ueBc0hX8q5ML9zBkNRL9wXlxh2kQxlHAr/q0lM5w6z/rZsgiZmSOArPBE4BngWsjaNwr+wxN8dROFKp1saA44FaHIXPIK0aPxn40GyCtkIkFUOzOnRZUi+t6eYTJfXSbaS/zFoXfLw4Oz8jWYWrIwlRFsetpL//HruTm7dqrjj9w6ReWjXNp21dk+gB07zvIOnqsFn2Pmj+n93ajedQXziPtLJ0DbAq+3pKHIURWSJcqda+BXyAdOLCT0nbAD42mye1QiQNuaDceBLp1FTo8FT7iST10meDcuO7wAeBlwH/EJQb82axK/mhpJWHzcD/dCDEXwAPJE2yrprifaYzu2w7Sb30l6Dc+DHplh8nAudP9zEGxF+Av6V7fURvJe0pAfjvTjTrK3+Vam0p6ezX5vFkS1RUW273TuCdnYrDCpE0xIJy4zWkfz01f8E8pVfPnVViXke68etDsu9nqlkd+l1SL90329iYZh9RUG4cSlqZSID/nuFzNpurh3lNoq5Nvc+a8j/QcqpTzfoSYEIkDa3sg+JTtPzlRY8/QLLhuXOyw/cE5cbeM3yoTvUPNW2daTbF5KQ5XPbTpF66a4bPWQXuI00OHz/Dx+h33Zx6fxTbv5ehM836EuCQWeEEF9zbdnbObKbsqG89jB3/6Gl+gMy4n2cGPgO8kbQh+RzSbT2mq9MJ0e9J1xJaTLr0/w07uf2Mh8uaknrpr0G58VXSIbNXMc292AZEN3uI2i210IlmfQmwQiQNpaDcmEfabzFezz9Asi093pIdvjEoNx482e3HC8qNBcAjs8OOJETZhqDNXqRJN3oNyo0DSPtiAL4+y6e+LLt8WVBu7DrLx+pHzYTooGwh0E5aQdpD1jQGnDqbZn2plQmRNGSCcmMu8F/A35NuU9Fccyi3D5CkXvoe6erVc0kbrafjsaSVrVs7HPtU+4ieRzpU85ukXlo2y+f8EXAL6Qya58/ysfpOUi/dSzojCNIVvTvp0aTvn1XA04HDbahWJ5kQSUMkKDdGSDdCjEiToeeR7hXUDx8gbyNNyp4XlBsnTON+nR4ua2r2EU1aIWLbcNlXZ/uE2YKYzSn4r5rt4/Wpbg2bNf+ffprUSz+yMqROMyGShkRQbswBPkm6RcdmIErqpSuSeum2fvgAyTaTvSQ7/HCWvE1FtxOihwXlxl7tbpCdf0Z2OOP+oXGas83+Pig3Dp70loOp2wnRzzr8uBJgQiQNhWym1EdJN0LcArwiqZdmOj28m94DrCZdYv/VO7txluQ1h7Q6mhBls8VuIh0Om2jWVxmYB/wpqZd21ng91ee9kXQphDmkyeuw6fjU++z9/eTscJg3yFWOTIikAZd9WHyQdGPDBHhVUi99Od+o2kvqpXuA92aH5wblxsKd3OUhwN7ABuAPXQhpZ31Es55dNoHLssthXJOoG1PvDwMOpHMLc0o7MCGSBt972Taj7NSkXvq/eQYzBR8nnUJ9ADvfBbs5TPKrWaxyPZkJ+4iyWVL/kB12OiGqkiZ5D2V624cMgm4MmTWrQ79N6qUNHXxcaSsTImmABeXG2cDZ2eHpSb306TzjmYpsyvvbs8O3BOXG4ZPcvFv9Q03Nx318m56mZwG7AUtJ1y3qmKReWsu2JOtVnXzsPtAcMjssW/6hE7r9PpBMiKRBFZQbbwXelx2+LamXerJPWYd8g3QPsflMvq9Xtz8IrwPWA4tIF7JstXW4LKmXurF26WXZ5bCtSbSctPo1QjrU1Qk2VKvrTIikARSUG28ALswO35XUSxflGc90ZQnGW0h7nl6abUC7naDc2Ac4OjvsyqrO2aKRv8wOt/YRBeXGLmzbEHfW0+0ncBXpju17tzzXwMv+b2/KDmc9bJb1mZWyQytE6hoTImnABOXGyWzbtf79Sb10bp7xzFRSL/0e+M/s8MPZjLJWT8gub0jqpZVdDKVdH9EzSKtGd9K9ZGyMbWsSvS4oN54+RBuVdrKP6PGkn1XLknrpjg48ntSWCZE0QIJy459IN2wFuAh4V47hdMLZwDrgcUA87rpe9Y20m2nWHC77eraYYrc01yQ6AbgSWBaUG6/p4vP1Sien3ts/pJ4wIZIGQFBuHBKUG+8h/QANSGdqvb1LvS09k9RLdwL/kR2eH5Qbu7dc3asPwmYF6MFBubFv1lwdZuc6PbtsvPEzpuYAlw5BpaiTU+9NiNQTJkRSn8sqBrcA7yb9mf0J8C+Dngy1+DCwDDiEbPmAbHbS47Lru/pBmO2/dX12+ATgKcC+pHtmXd3N5waOanNuhM6u4ZOHjgyZjVuY04ZqdZUJkdTHskrBp0irQk1PAoZmy4ekXrofOCM7PDPbzqIE7E66qvX1E9y1k1r7iJrDZd/o0tpHrZawbfPdpjG2DTkNqmb8R7TpDZuOh5H2cq0Hrp11VNIkTIik/vYIdvw5HYYKwnhfJq0E7Q68n23DJL/ocg9PU7MK1ZoQdWt22VbZ/nKnkCZBZJen5r3vXAfcQvpv2Q04aBaP01yQ8ZfZjECpa0yIpP720jbnhqGCsJ1s+O/N2eFJQLOxuFd9I80K0VNJh+7WA9/vxRMn9dJngcOBpwOHZ8cDLausLcsOZzNsZv+QesaESOpTQbnxLNLkALYNqwxLBWEHSb30K+C/SIcHH5md/nOPnv5/gTVsG5q8MhvK64mkXrotqZd+NGT/r53oI3JBRvWMCZHUh4JyYzHb1uj5GOmKv0NTQZjEWcDGluNKL6ahZ8Nyt7acKg/J9Pc8NauYMxreDcqN/Vvu25W1oKRWJkRSf7qYtHH6BuDMIa0gtJMArftf9WQaevb4x7Se6sXzDrnZVoias8v+mNRLq2cfjjQ5EyKpzwTlxktJFykcA16Z1Ev35RxSLx3F9jPqoDdN5Hk97zCbbULUbKi2f0g9YUIk9ZGg3HgAcEl2+P6sr6ZI8pqGPqzT3/M029WqbahWT83t5oPHUXgy6WJye5MuS/9K4B3AacA3gVdUqrVhWVxOmpWg3AiAz5L+vPwGGMg9ymYjqZduC8qNU4BLSSs0PWkiz+t5h1xzg9e9g3JjcbYA5pQE5cZ84Ljs0IZq9UTXKkRxFO5D+svl/aSLrD2UdIn+mHSzvgcDx8ZR+NQ4Ck/pVhzSAHkd8CzgfuDEHiwK2JfymoY+jNPf85QN9S7PDqdbJXoUMB9YiVU69Ug3K0QB6V9ZtwG3k67rMUa6d89SYC2wGDgPKHcxDqnvBeXGUcCF2eGZSb30v3nGk7esMtPz6kxezzvEbiRdmPFvgF9P435b+4eGaIsa9bmuVYgq1dpK0im03yRNfnYB3k66N9AaYBNwMnBupVpbMf7+cRTOj6NwEbCgWzFK/SAoN+YCXyBdpflK0mn20jCY6Sav9g+p57o5ZPYA0v6hN5Bm+/OAN1eqtdeS/uL/HLAOCOMovDWOwtPGPcRZpIlTL/YxkvL0b6Sbiq4FXt2jrSqkXpj2TLOsl86ESD3XzVlmTwZGKtXaJyrV2v8AXwP+MbvuQNJdrb9AuldTDJwz7v7nAXsCR3cxRilXQbnxKODfs8M3JvXSLXnGI3XYTKbeH076GbEJ+J9OByRNpJs9RNcDu8VR+BLSseNnAs0pxOcApwObSVelvYdxa4BUqrVRYDSOwoVdjFHKTVBu7ApcTvpz+LXse2mYzGTqfbM69NukXtrQ4XikCXWzh6gBvBG4CGiQLot/dnb1KZVq7Rrgt8BdpInSR7sVi9SnzgUeRvoz8DqbRzWEmhWig4NyY/cp3scFGZWLrq5DVKnWPgF8os35JLvcArywmzFI/SgoN54GvCU7PDmpl+7OMx6pG5J66d6g3FgN7AUcAVw3hbvZP6RcuFK11GNBubEI+DzpMPFnknqpnnNIUjdNedgs+9l4RHZoQqSeMiGSeu8jpLvX38y2KpE0rKYz9f5xpJ9LS5N66Y7uhSTtyIRI6qGg3Hg+8GrSXd1PSuqlv+YcktRt05lp5nCZcmNCJPVIUG48ErgsO7wwqZd+kmM4Uq9MJyGyoVq5MSGSeiDbOPT3pM2lsO1DQhp2U+ohCsqNEdIFSsGESDkwIZK6JCg3gqDceGJQblxGutFxq48H5cYhOYQl9Voz+T88KDfmTXK7hwGLSHcwuLbrUUnjdHXavVREQblxJPAK4J+YuJF0JLvOjUQ17JYD9wO7AocycXW02T/0y6Re2tyLwKRWVoikDrhn80KCcuO0oNz4ObAEeA9pwrMe+Cowfn+yMbYNJUhDK9ubbyp9RPYPKVcmRNJ0jG7mqnUP57ZN+3D/lnl8Zc0TCZedxUE3/Ceki5A+kTT5+S5wInBgUi+9GDiFNAkiuzw1qZesDqkopjL13hlmypVDZtJU3bkelqziBM4lIGHXYCMbkvmtt/gd6X5klaReWt56RVIvfTYoN75L+oFwo8mQCmbSClFQbhyQXZcA1/QqKKmVCZE0FaObYcmqrYcJARuS+Rw4ci8n7X0VJ+71I475yNWPnuwhsiTIREhFtLMhsydml39M6qXV3Q9H2pEJkTQVG9r3eP7XAz/ECQumsj2TVGg7m3rvcJlyZw+RNEMjjPHg+ct3fkNJWytEQbkRtLnehmrlzoRImoo71293OMIYlx58CYfMuyengKSBsox0MsFuwEGtVwTlxnzguOzQhEi5cchM2pn1G+HuDen3x+zDVetP48j5y02GpClK6qVNQbmxDDiCdNisdePWRwO7AHfjUhTKkRUiaWeWrk0v990NFu/G8QuuMxmSpm+iqfdb+4eSeinpYTzSdkyIpMn8dSPce3/6/WGL8o1FGmwTzTSzoVp9wYRImszSNenl/rvD7pNtwyRpJ3aYaZY1WNtQrb5gQiRNZPVo+hVgdUiavXYVogcBBwCbgN/0PCKphU3VUhtBuRGwaJf04MA9YFd/VKRZatdD1Bwu+01SL23ocTzSdvwtL7X3LNZuTGuoD5x+dSi44N62zaHJGYvbrcEiFcFN2eXeQbmxd1IvrcL+IfURh8ykcbK+hnMBOGgBzB/JNyBpCCT10nqguZJpc9jM/iH1DRMiaUcvAB7DSACHLMw7FmmYbB02C8qNRcAjsuNf5BSPtJUJkdQiKDdGgPcCcPAC2MXqkNRBrY3VjyedsrA0qZfumPguUm/YQyRt72XAMcBqDlm4V86xSMOmdep98/PnZznFIm3HCpGU2ZSMAPx7dvhB5vrjIXVYa4XIhmr1FX/jS5nLVp0A6S/qu4GP5huNNJSaCdGDgSdk35sQqS+YEEnA/Vvm8d4VL20enpfUS+vyjEcaUs2E6EBgEbAOuC6/cKRtTIgk4FOr/p7bNu8LcDtwSc7hSMPqXmB1y/Evk3ppc06xSNsxIVLhrd8yn/eviJqH70vqpfvzjEcaVtlu9n9pOWVDtfqGCZEK72P3PIcVY3txxLw7Af4z73ikIdeaEP05tyikcUyIVGhrxnbnAytfAMC79/8SSb20KeeQpGG3R8v3XwjKjdfkFonUwoRIhfahlc9j1dhCHjr/Vl6x14/zDkcaakG5cQjw7JZTc4BLs/NSrkyIVFgrNy/kQ/c8H4D37v9FRoItOUckDb2jSFenbjUCHJlDLNJ2XKlahfWBlS9k3ZbdeNSuf+GFi67pzZOeeUTS9vz5N43/kJCG0RJgC9v/MT7GthWspdxYIVIhLd+0Nxffk1bu33fAF5kTtM9TJHVOUi/dBpxCmgSRXZ6anZdyZUKkQnr/3S9mQzKfJ+52Pc9e8Ju8w5EKI6mXPgscDjwdODw7lnLnkJmKZ+0on7z3WQC8/4DLCRysknoqqwhZFVJfsUKkYrlzPfzhbsaYCyTctPHAvCOSJPUBEyIVx+hmWLKq5UTAqXecxm2b9sktJElSfzAhUnHcs+OOHGOMcOPoQTkEI0nqJyZEKoZ1G2Hp6h1OjzDGkfOX9z4eSVJfMSHS8Fu/Ca5dmU7wnT+y9fQIY1x68CUcMu+e/GKTJPUFZ5lpuK3fBNfeDZu3wIJ58Ij9YGwLV604mSPnLzcZkiQBJkQaYkG58RDmzYFNWTL08P1g7hyYO4fjF1yXd3iSpD7ikJmGUlBuHAlcyaYtsMc8ePi+MM+3uySpPT8hNHSCcuNBwJXAwew+N0uGRnZ2N0lSgZkQaajcsnFfSJOhBwLX84j9YBeTIUnS5LraQxRH4QhwFvBq4H8r1Vo5jsIPAKcB3wReUanW3FVTHXHbpn14+s3nQrpP0hLgGewycnuuQUmSBkK3K0QfAd4AvA14ZRyFi4EYeDzwYODYOAqfGkfhKV2OQ0Nu+aa9OeHm93LTpgMBbgJOSOqlO3IOS5I0ILqWEMVReADwOuB1lWrt65Vq7V4gADYAS4G1wGLgQqDWrTg0/O7avCcnLH0vSzY+gMPmrYA0GXLjSEnSlHVzyOxxwAjwkjgKLwauA14LXA2sIe3zOBk4t1KtrRh/5zgK5wPzgQVdjFED7u7Ni3jGze/l+tEHcsjclVz5oHdxxId+sSzvuCRJg6WbQ2Z7AwnwM+B5wAHAByvV2muB3YHPAeuAMI7CW+MoPG3c/c8iTZyu72KMGlSjm6mteRxPvflc/jh6GAfNvTdNhna5K+/IJEkDqJsVohXAhkq19gmAOAq/BJyUXXcg8FbgLcCHSPuKqsAlLfc/L7vuIEyK1OrO9bBkFS/gHQAsmrOeqx50Nke5J5kkDZQ4CvcHXk6aH5xYqdaui6PwOOCTwDHAn4HXV6q1n7W575tJe5TnAZcBZ8xmolY3E6JfAKNxFL4RqAMh8NvsunOA04HNwEbgHtL+oq0q1dpodv+FXYxRg2Z0MyxZtd2pdVt2ZY85ozkFJEmaiezzfRnwe+DY7Nwc4GvAfwPPJy2OfI50IlbrfY8h7UH+R9LRpKtIW3K+NdN4ujZkVqnW1gAvIm2svpY06XlrdvUplWrtGtIE6S7gV8BHuxWLhsiGzTuc2sIIN44elEMwkqRZ2AAcRjpK1LQ78EXggkq1djtpv/EBbe77VGBJpVr7XqVa+yXw8+zcjHV1HaJKtfYj4OFtzifZ5Rbghd2MQUOmTTF0hDGOdLhMkvrFgjgKF7Ucj2ajPtupVGubgRVxFB7ecm4dcCZAHIVzSSdfXd7mOfYj7UNuWp2dmzE3d9XgSBK4Ze12p0YY49KDL3HXekkaJyg3DgGOApb0eCmS8X2//w68ZwaPcymwD+kkq6mY1ULPJkQaHCvug7UbYU4Aj9iXq9acypHzl5sMSdI4QbnxGuBTpK0xW4Jy45SkXvpsj57+aKC1bD/tJs9sV4tnAk+pVGtr29xkJbBXy/Ei0h0KZsyEaAAFF9zbNgtOzlgctDs/FDZtgZvXpN8fuhAWzef4sevyjUmS+lBWGWomQ2SXlwblxnd7VClaN0ESMyVxFJ4JnAI8C1gbR+Fe2WNujqNwpFKtjQE/Bi6Oo7AM3Ak8CbhoNkG7uasGw7I1aVK021x4gBMPJWkSR7Hj5/sIcGQOsczEecCewDXAquzrKXEURsBvACrV2nWkS/d8CvgOcHGlWvvubJ7UCpH63183wvL16fdH7pUOmUmSJrIE2ML2SdEYcGM+4UyuUq0tpWXpnUq1Ntkv+WrL7T5CumdqR1ghUl8Lyo0RbszWHdp/d9hr13wDkqQ+lw2LnUKaBJFdnuoej5MzIVK/ex3rNsFIAA/aM+9YJGkgZA3UhwNPBw7vYUP1wHLITH0rKDcOBN4PwOF7wi4j+QYkSQMkqwhZFZoiK0TqZx8E9mTBPDhoj7xjkSQNMRMi9aWg3Dge+Ccg4ci9IbCRWpLUPSZE6jsbt8wF+ER2+EkW7pJjNJKkIjAhUt/58D3PBXgosAJ4Z77RSJKKwIRIfWXZxv1474qXNg/fltRLq/KMR5JUDCZE6itvWv4a7kt2hXRZ9nY7HEuS1HEmROob9bXHUfvrE5jLZoDXJ/XSrHYuliRpqkyI1Bfu27ILpy9/LQBv2fcbJPXSH3MOSZJUICZE6gv/cfeLWbrpAB44727etd+X8w5HklQwJkTK3Q2jB/OBlS8A4P8c9BkWjNyfc0SSpKIxIVKukgTecMepbErm8ZyFvyZc+Mu8Q5IkFZAJkXL1/9Y8hR+ufyS7BqN89KDPuCC1JCkXJkTKz/pNvP6OUwB4535f4Yhd7so5IElSUbnbvfJx53pYsopVLAIS9h1Zk3dEkqQCs0Kk3hvdDEtaF6AOeOPyU7lt0z65hSRJKjYTIvXe3fftcGqMEW4cPSiHYCRJMiFSr60ZhaVrdzg9whhHzl+eQ0CSJJkQqZfWjsIfV0IC7L6tfW2EMS49+BIOmXdPfrFJkgrNpmr1xl83wnUrYSyBPefDMfvC5jGuWnEyR85fbjIkScqVCZG6Lig3HsXcIE2GFu0Cx+wDIwGMzOX4BdflHZ4kSQ6ZqbuCcuMRwPfZ3EyG9oUR33aSpP7iJ5O6Jig3Hgb8ENiHhfPSZGiubzlJUv/x00ld8efRgyFNhvYDfssx+5kMSZL6lp9Q6ri/jB7ICTe/F+BAoAH8PfN8q0mS+pefUuqopRv35+lL38ftm/cF+BPwd0m95BQySVJfMyFSx9y6cV+efvP7uHXTfjxkl9sAnpHUS3fnHZckSTtjQqSOuH3TYp6+9H0s3XQAR+5yB1c+6F0k9dKdecclSdJUuA7RMDnziKTt+fNvCrr2nKOb+eqaJ/Bvd57ETZsO4kHz7uTKw8/h4Hmrdn5fSZL6hAmRZu7O9bBkFS/mTAAWj6zlygedwwN3WZlzYJIkTY9DZpqZ0c2wZPsq0OqxPZgbjOUUkCRJM2dCpJm5b/MOp7Ywwo2jB+UQjCRJs2NCpJlZuWGHUyOMceT85TkEI0nS7JgQafpW3Jf2D7UYYYxLD77EXeslSQPJpmpNz7qN23qHDlkABy/gqhUnc+T85SZDkqSBZUKkqds4Bn+6B7YksPd8OHxPCAKOX3Bd3pFJkjQrJkSakqDcmMeiXWB0DHabC0fvA0H3ljeSJKmX7CHSVH2YtRthJICH7ePO9ZKkoeKnmnYqKDdeA7wBgIcsht3n5RuQJEkdZkKkSQXlxpOASwA4bBHss1u+AUmS1AUmRJrQ7ZsWA3wVmAd8lQcuzDcgSZK6pCdN1XEUVoEXV6q1II7CDwCnAd8EXlGp1tpvSKpc3b9lHi+45UyAA4FrgVcRBC/KNypJkrqj6xWiOAqfB7wg+34xEAOPBx4MHBtH4VPjKDyl23Fo6pIEXnfHafx6w4MB7gXCpF5al3NYkiR1TVcTojgKFwEfBz6WnQqADcBSYC2wGLgQqHUzDk3PR+8p8/nVJzCHMYCXJvXSTXnHJElSN3W7QnQB8H3ghwCVau0e4GpgDbAJOBk4t1KtrRh/xzgK52cJ1YIux6gWP1xX4q13vhqAiw68jKRe+kHOIUmS1HVdS4jiKHwKEAJvaz1fqdZeC+wOfA5YB4RxFN4aR+Fp4x7iLNLE6fpuxajt3bTxAF5y69sYY4ST9rqSf93nm3mHJElST3SzQnQ2sA9wE/AlgDgKV2fXHQi8FfgC8AjSvqJzxt3/PGBP4OguxqjMurFdCZedxb1ji3jsbn/mkwdf4kLUkqTC6OYss1cBu2bfnwB8Fjg2Oz4HOB3YDGwE7iHtL9qqUq2NAqNxFDrXu9vu38xzlp3NtaOHc8DcVXzt0AvYdc6mvKOSJKlnupYQVaq1O5vfx1G4Iju3NDt1SqVaS+IonAPcBfyKtCKkXrtzPSxZxY95OJDw6r1+6K71OQsuuLftUhTJquPa3+H8m6zlSdIs9WQdokq1VqelAtRce6hSrW0BXtiLGNTGfZtgyaqWEwEfXPkC3rDPd0yKJEmF4krVRbVmFBp373B6jBFuHD0oh4AkScpPTypE6iNjW2DpWrij/TqLI4xx5PzlPQ5KkqR8mRAVSFBuPJVdR+D+sfTEAbvDHvPgpjVAmgxdevAlDpdJkgrHhKgAgnJjD9Km9dO5fwx2GYGj9obF2STAfXfjqhUnc+T85SZDkqRCMiEaclevPwagARwBwIF7wIP2hLkt7WPz53L8guvyCE+SpL5gU/WQWje2K6ff8VqOv/n9kCZDtwLP4qi9t0+GJEmSCdEw+tG6h1O68SNcfO9zmqc+BTw8qZe+l2NYkiT1LYfMhsXoZr699tF8ee2T+fzqZwBw6LwVfOYBH+eZF3/91JyjkySpr5kQDYNstenntGwH97rF3+GCA77AopENOQYmSdJgcMhs0I1uHrfaNMxhC+/c7ysmQ5IkTZEJ0aDbsHmHU1uY42rTkiRNgwnRoNttx1FPV5uWJGl6TIgG3byRlm1zXW1akqSZsKl60K3bCAkwEvDDB76TB7vatCRJ02ZCNOjWjKaXe+3KCa42LUnSjDhkNuhWZwnRnvPzjUOSpAFmQjTItiSwdmP6/V4mRJIkzZQJ0SBbtzFNiubOgd0d/ZQkaaZMiAZZs39oz10gCCa/rSRJmpAJ0SBbY/+QJEmdYEI0qLYksCbrHzIhkiRpVkyIBtXW/qEA9piXdzSSJA00E6JB1TpcZv+QJEmz4tSkQWX/kKbjzCOStufPv8lsWpKwQjSYkpb1h0yIJEmaNStEg2jdJhizf0g7Ci64t20lqH15SJLUZIVoEK22f0iSpE4yIRpE9g9JktRRDpkNmKDcmMtIVhUyIZIkqSOsEA2eR9k/JElSZ5kQDZ6nAbDI/iFJkjrFhGjwHA84XCZJUgeZEA2QoNyYC/wtAHuZEEmS1CkmRIPlWGARI/YPSZLUSSZEgyXtH3L9IUmSOsqEaLAcD9g/JElSh7kO0YAIyo0R4KmACZEkaSjEUbg/8HLgJODESrV2XRyFc4F/AF4F3FCp1t45wX1vAB7ccur0SrV28UxjMSEaHI8EFgFrWTBvUd7BSJI0G3EULgSWAb8n7ZFt+i/gUaSfeUsneYiDgOcCP82O75tNPCZEg+P47PInBMFz8gxEkqQO2AAcBuwO3Nxy/k2Vam15HIU/muiOcRTuASwE/lKp1lZ3IhgTosFxfHb5I8CESJLUrxbEUdg6kjFaqdZGx9+oUq1tBlbEUXj4uPPLp/AcBzdvHkfhvsAVwBsr1dr9M4zZpupBkPUP/W12eHWesUiStBPXA2tavs7qwnOsAN4EvB54JfB84A2zeUArRIOhBOwF/BX4Xb6hSJI0qaOB1irPDtWhDtgMfKlSrd0FEEfhVaSflTNmQjQYjs8uf5LUS5uDC+7NMxZJkiazrlKtre3GA8dROFKp1sZIPxdrcRQ+A7gHeDLwodk8tkNmg+Fp2eWP8gxCkqS8xFEYAb8BqFRr3wI+AHyFdJbZd4CPzebxrRD1uaDcmENz/SH7hyRJQ6ZSrS0Fdth+oVKtHT/uuApUW47fCbRdo2gmrBD1vxKwN7AO+G3OsUiSNJRMiPrf8dnlT5J6aXOegUiSNKxMiPpfs3/I4TJJkrqkqz1EcRS+HXgLsAfpokmvBt4NnAZ8E3hFpVpLuhnDIMv6h2yoliSpy7pWIYqj8JnA+4ETgSeSLiz4r0AMPJ50Q7Zj4yh8ahyFp3QrjgH3COwfkiSp67pZIdoInFGp1n4AW3elPYh075KlwFpgMXAeUO5iHIOsWR36WVIvbco1EkmShljXEqJKtXY1Wd9LHIWPBJ4AnAHsSrqU95XAycC5lWptxfj7x1E4H5gPLOhWjAPg+OzyRznGIEnS0Ot6U3UchYeQ9gtdVKnWflmp1l5LurPt50iHgsI4Cm+No/C0cXc9izRxur7bMfYj+4ckSeqdriZE2Q603yetBp3dctWBwFuBL5D2ycTAOePufh6wJ+meKEV0DOmQ4nqylTklSVJ3dLOpegHwbeAW0uRnzzgKF2VXnwOcTtpPtJF0H5LtVqmsVGuj2V4o67oVY587Pru0f0iSpC7rZoXoRcBjgb8HVgKrgEZ23SmVau0a0plTdwG/Aj7axVgG0fHZ5Y9yjEGSpELoZlP154HPT3Bdkl1uAV7YrRgG1bj9y36UYyiSJBWCm7v2p4cB+wL3Af+TcywqiOCCe9sukpqsOq79Hc6/aYfNGCVpULl1R386Pru0f0iSpB4wIepPx2eXP8oxBkmSCsOEqM8E5UaA6w9JktRT9hD1n2b/0AbsH9KAmLD/6IzF9hlJGghWiPrP8dnlz5J6aWOegUiSVBQmRP3H4TJJknrMhKiPZP1Dx2eHV+cYiiRJhWJC1F8eCuxH2j/065xjkSSpMEyI+ktzuOznSb00mmskkiQViAlRf/nH7PJ3uUYhSVLBmBD1iaDceA3w3OzwLdmxJEnqAROiPhCUG4cAn2o5NQe4NDsvSZK6zIUZ+8Pj2DE5HQGOBG7rfThSh5x5RNsFG90YVlK/sUKUs6Dc2B14V5urxoAbexyOJEmFZEKUo6DcGAEuB44F1pMmQWSXpyb1ktUhSZJ6wCGzfH0AeAGwEfgHYCnpMNmNJkOSJPWOCVFOgnLjjcBbssOTknrpp9n3JkKSJPWYQ2Y5CMqNMvB/ssN3JPXSl/KMR5KkojMh6rGg3HgM8P9IX/vPAOfnG5EkSTIh6qGg3DgUqAO7A98DXp/US+2nJUuSpJ4xIeqRoNzYE/g2cCBwLfCSpF7alG9UkiQJTIh6Iig35gFfAY4BlgPPSeqlNflGJUmSmpxl1mVBuREAnwT+jnStoXJSL9064R1c2VdK+bMgqYesEHXfO4B/BrYAL03qpd/mHI8kSRrHClEXBeXGy4Fzs8PTk3rpW1uvu+Detn/92mEtSVLvWSHqkqDceCrwuezwoqRe+kSe8UiSpIlZIeqwoNw4BDiBdOHFXYCvAf+Wa1CSJGlSJkQdFJQbrwE+xbbK203AiUm9tCW/qCRJ0s44ZNYhWWWoNRkCOAxYnE9EkiRpqkyIOucodnw9R0h3r5ckSX3MIbPOWUI6tb41KRoDbswnHKnAXMNI0jRZIeqQpF66DTiFNAkiuzw1Oy9JkvqYFaIOSuqlzwblxndJh8luNBmSds41uST1AxOiDsuSIBMhSZIGiENmkiSp8EyIJElS4ZkQSZKkwjMhkiRJhWdCJEmSCs+ESJIkFZ7T7mdhwvVTzljsarhSD7iGkaROsUIkSZIKz4RIkiQVngmRJEkqPHuIusGdtiVJGihWiCRJUuFZIZIkTcoZtSqCriZEcRS+FDgP2Bv4OnAa8L7s8pvAKyrVmjNkJUlSrrqWEMVRuA/wOeANwC+BHwBvA2Lg8cAXgGPjKFwIHF2p1j7VrVgkabwJqx6rjmt/h6n0AM6mf7BovYdF+/eq73WzQvQ4IAAuq1RrSRyF3waOBzYAS4G1wGLSClK5i3FMylKwpOmazYKQXVlMcgrJRVcSwCnoyms1hd/PRfvdXrR/bzd0MyHaD1jfMiS2GjgCuBpYA1wJnAycW6nWVoy/cxyF84H5wILs1AFxFHY8yF1LF7Y9H0f//ICZ3veeze1f1jdG4dbH9L7e1/t63+nedyIXH5ZPzHn9npzN807lvoOoT/69B/TwuTouSJLutPDEUfhK4EOVam3f7PhC4FGVau0ZcRTOA14EPAMYAZ4J/EelWruk5f7vAd7dleAkSVK3PKZSrf027yCmq5sVopXAwjgK51SqtS3AIqBZCToQeCvwFuBDpH1FVeCSlvufl10H8FDgtjbPsQC4HjgaWNfpf4Am5OueD1/3fPi658PXPR+zfd0PAH7X0Yh6pJsJ0a+AMeDUOAqvAv4RODe77hzgdGAzsBG4h7TfaKtKtTYKjGaHv2z3BHEULsq+XV6p1tZ2NHpNyNc9H77u+fB1z4evez468Lrf3sl4eqlrCzNWqrWVwKuBfwN+AXwPuCy7+pRKtXYN8FvgLtLk6aMzeJpR4N/ZljipN3zd8+Hrng9f93z4uuejsK9713qIJEmSBoVbd0iSpMIbqK074ij8LvD3LacuIh1q+zxwHHAD8M+Vaq2RQ3hDJY7C/YGXAycBJ1aqteviKDyUNq91HIUBcD7pEOkm4MJKtfbhnEIfaBO87jHwxZab3VOp1vb1de+cOArfTjrJYw/gCtLXdB98v3fVBK/78/D93jVxFM4F3g+ckp2qA68F9qfg7/dBqxAdRLry9d7Z19nAhcB64BjgWuCzuUU3JLLVw5cBLwWObblqotf6H0m3Y3k26Q/ZRXEUPqJX8Q6LSV73g4Cfse19f0R23te9A+IofCbpB8SJwBOBvwX+Fd/vXTXJ6+77vbteQZoAlUlf978jfT0L/34fqAoR6Q/KzZVqbXXzRByFTwP+tVKt3RJH4WeBn8RRuHulWrsvryCHwAbgMGB34OaW821f6+z8zyvV2v8AxFF4E/AU0h8qTd1Er/tBwO2t7/uMr3tnbATOqFRrPwCIo/AG0qnDvt+7a6LXfSO+37umUq19nrQSRByFe5G+3pvw/T44CVEchbuQlrA/GEfhZ0hnrp1KuiJ2c62E1dnlvsAtvY5xWFSqtc3AijgKDx931USvdev55nX7dS/C4TTJ634w8MQ4Cm8D7gbenn2I+Lp3QKVau5p0BX3iKHwk8ATgDNKlQX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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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lDJKlWBiJJZbNCJGnmGIgklc1AJGnmGIgklc1l95JmjoFIUtlcdi9p5hiIJJXNZfeSZo6BSFLZ7CGSNHMMRJLKZg+RpJljIJJUtnH2IbJCJKlWBiJJZRtryqzV6bUqGo8kLctAJKk0eagZJxC1WGjGlqSpMxBJKtMeZOEGVhaI7gJ25I/tI5JUGwORpDLtPfD4ruWe3O+2+9hHJKkBDESSylRMe93T77a3r/A1Lr2XVDsDkaQyraZ/qGAgklQ7A5GkMk0SiOwhklQbA5GkMq1mD6KCPUSSamcgklQmp8wkzSQDkaQyGYgkzSQDkaQyjROIiikze4gk1cZAJKlMVogkzSQDkaQyFfsQGYgkzRQDkaQyuexe0kwyEEkqk8vuJc0kA5GkMtlDJGkmbah7AJLWFAORpBWLwuBQ4GTgNOCUOEmvisLgOOA9wDHAt4AXx0l62YjXvhx4FbAb8AHgNXGS9scdixUiSWWyh0jSikRhsBHYDJwEHJufWwd8BPg8cCRwJfD+Ea89BjgfOB14DvBS4NmTjMdAJKlMk+xDtLHV6fkzSZofdwFHANHAub2BvwfeHCfp94FPA4eNeO1TgGvjJP1UnKRfAD6XnxubU2aSyjTJsvtW/voflzoiSdO2bxQGg1Pg2+Ik3Tb8pDhJtwNbojDYNHBuK/BagCgMNgAvAC4e8TUOAbYOHN+Wnxubv41JKtM4FaK7ge35Y/uIpNl3NVnlt/hz7pjXuQA4aBWvH7t/CAxEksq16kDU77b72EckrSVHk/1bLv6ct9oLRGHwFuDpwDPiJL1jxFNuAfYfON4P2LLqkQ5wykxSmcbZhwiy3yIPxAqRtBZsXSTErEgUBq8FzgKeAdwRhcH++TW3R2GwPk7SHcBngXdGYdAB/ht4EvDWSQZthUhSmcaZMgOX3ktacB5ZZely4Ef5n+OjMAiBKwDiJL0KeAXwXuATwDvjJP3kJF/UCpGkMhmIJK1KnKTXkS2qKI5biz+bZOB5bwfeXtY4rBBJKtO4gahYem8PkaRaGIgklckKkaSZZCCSVIpWp7c7C9PwBiJJM8VAJKksew88HjcQOWUmqRYGIkllKQLRDuDeVb626CGyQiSpFgYiSWXZuQdRvtniajhlJqlWBiJJZRm3oRoMRJJqZiCSVJYyApE9RJJqYSCSVJZJApE9RJJqZSCSVBanzCTNLAORpLLsk380EEmaOQYiSWUpo0K0sdXp+XNJ0tT5g0dSWXYuux/jtUUPUQvYt5zhSNLKGYgklWWSCtE2FjZzdNpM0tQZiCSVZexAlG/kaB+RpNoYiCSVZZIKESxMm7kXkaSpMxBJKsukgcgKkaTaGIgklWWSZfdgIJJUIwORpLJYIZI0swxEkspiD5GkmWUgklSWSfYhAitEkmpkIJJUFqfMJM2sDVVePAqD9cC5wOnAN+Mk7URh8BDgIuA44BrgjDhJe1EYHA98GNgKPCdO0muqHJuk0pUViJwykzR1lQYi4O3ArwMvBi7Nz51PVlI/BngjcCHwWODVwGuAI4AXR2HwGuAdwFlxkvYrHqekyZXVQ2SFSNLUVRaIojA4DPhfwK/HSfpPA586AfidOEmvj8LgQuDfozDYm2z67gZgN+CngDcBlxmGpJnhlJmkmVVlhehxwHrgeVEYvBO4CnghcAjZtBjAbfnHg4G/Aj4K3ENWRXpcnKTnjLpwFAZ7AHvgTSClJnEfIkkzq8qm6gOAPnAZ8CvAYcCfLfLcfpyklwAHAY8AngdcEoXBdVEYdPMANOhcsvL61ZWMXNI47CGSNLOqDERbgLviJH1XnKRfAT4EtIFbgP3z5xS/Cd4MECfpDuDdwOuBlwEvyj//7KFrn0f2Q/PoqgYvaeVand4GYPf80B4iSTOnykD0eWBbFAYvjcJgExAAXyZrrj41X212OnB5nKR3A0RhcAJwU14tWk82pXZn/ninOEm3xUl6BwtTb5LqtdfAY/chkjRzKgtEcZLeDjyXrLH6a8APgVfmfzYA3wAeRdZXVLzmUrLKEGRN1Z8ADgcuqWqckkpRTJf1gW1jXqMIRBtbnZ57pEmaqkqX3cdJ+hng50Z86heWeE0//3gxcHE1I5NUsp39Q/1ue9yVoXcMPN7IwhSaJFXO38IklWHShmr63fbdZKtMwWkzSVNmIJJUhokDUc4+Ikm1MBBJKsOkexAVDESSamEgklSGsipERd+QexFJmioDkaQyFIFo3CX3BStEkmphIJJUBnuIJM00A5GkMpQdiJwykzRVBiJJZSi7h8gKkaSpMhBJKoNTZpJmmoFIUhlcdi9pphmIJJXBHiJJM81AJKkM9hBJmmkGIkllcB8iSTPNQCSpDDZVS5ppBiJJZbCHSNJMMxBJKoM9RJJmmoFIUhnKrhDt2+r01k94La1RrU7v8Fand2Kr0zu87rFo7TAQSSpD2fsQAew74bW0BrU6vTOBzcCngc35sTQxA5GkMpRSIep329uAbfmhfUS6n7wi9F4W/t+1DrjASpHKYCCSVIaypszAlWYaodXptYDfZdf/b60Hjpz+iLTWbKh7AJLWhLL2IYIsEB2CgUi5Vqd3MPA3wHNGfHoH8O3pjkhlicLgUOBk4DTglDhJr4rCYAPwTOD5wDVxkr5uxOvWAW8FzgB+BJwbJ2k8yVisEEmaSKvTWwfslR9aIVKpWp3eicCVZGFoG/D3ZCGI/OPZ/W77hpqGpwlEYbCRrB/sJODYgU99EHgbcDywxyIvP40sMP0C8HLgA1EYbJpkPAYiSZPac+BxGYGoWHpvD9Eca3V6u7U6vT8G/hV4EHA18Ph+t/2bwCbgRGBTv9u+sL5RakJ3AUcA0dD5c+IkfTjZf/PFPB64LE7SK+Ik/SjwHeCXJhmMU2aSJrX3wOO7SrieFaI51+r0NpFVgp6Yn/pr4Jx+t/0TgLwiZFWoufaNwmDw3++2OEm3DT8pTtLtwJbhyk6cpDeu4Gt8F/iVKAwOAfYHDgYOHXvEGIgkTa4IRHf3u+37SriegWiOtTq9EHgfWYXwduCsfrf94XpHpVUaruy8EXhDyV/jPcCvATeS9ZDtnj8em4FI0qTK2oOo4O075lCr09sHeDvwgvzU5UDU77avq2tMGtvR3D+c7FIdmlScpLcDj4/C4CCgD9wEfG2SaxqIJE2qzCX34O075k6r03sk8CGy/5H2gT8F3tjvtu+tdWAa19Y4Se9Y/mmrF4XB+jhJd+SP9wIeApwHfCZO0i9Ocm0DkaRJlbnkHpwymwv5ZopHAU8GXk+2mugHwG/1u+1/q3NsaqYoDELgdSysSHsFcA7QBV416fUNRJImVXaFyEC0xuW32xjccRrgY8AZ/W77lnpGpbrESXod0Bpx/qlDxwmQDBz/CfAnZY3DZfeSJlVVILKHaA0acfsNgPuAFxuGVCcrRJImZQ/RjBuYvrp2CpscHsWuv4yvI7v9hkvpVRsrRJIm5ZTZDGt1eucw3bvHX0tWERrk7TdUOwORpElVtezeQFSxvDL0NqZ49/i8AnUW3n5DDWMgkjSpqqbM7CGq3lHs2sxa+d3j89ttbMLbb6hB7CGSNKmqpsz2aXV66/vd9o4ln61JXDvi3FSmr7z9hprGCpGkSZW9D9GPBx5vLOmaGiEPJT8YOOX0leaWgUjSpEqtEPW77W0sbPVvH1GFWp3eBrKbYkJ2x3GnrzS3nDKTNKmyp8wg6yM6FPuIqraJ7KaYdwMfLunmvNJMskIkaVJVBCJXmk3Hz+Qfv2UY0rwzEEmalIFodh2df7y61lFIDWAgkjSpsvchAm/fMS1FheiaWkchNYCBSNKkquohAitEVbNCJOUMRJIm5ZTZ7LJCJOUMRJImVfY+RGAgqlyr0zuAbCUfwLfqHIvUBAYiSZOqskJkD1F1iurQ9/vd9o+XfKY0BwxEkiZlD9FsKvqHnC6TMBBJmkCr02thD9GsKipENlRLGIgkTWZ3Fn6OGIhmiw3V0gADkaRJ7DPw+K4Sr2sPUfVcci8NMBBJmkQxXXZvv9u+t8Tr2kNUofymrkfmh1aIJLy5q6TJVLHkHmZ4yqzV6R0OHAVc2++2b6h7PIv4aWA3sqre92oei9QIVogkTaKKhmqY0UDU6vTOBDYDnwY258dN5E1dpSEGIkmTqCoQFVNm++TTO42XV4bey8LP1XXABfn5prF/SBpiIJI0iaoC0eBGgRtLvnZVjmLXn6nrWejVaRJXmElDDESSJlFJIOp32/cAd+eHszJtdi0wPP20A/h2DWNZjpsySkMMRJImUSy7L7tCBDPWR5Q3UL9j6PSbG9pY7aaM0hADkaRJVDVlBgt9RLO0F9GtQ8cPrGUUS2h1egcCh+SH3tRVyhmIJE2iykA0UxWi3GPyjx/OP/5Gq9NrWqArqkM39LvtrbWORGoQA5GkSVS1DxHMZiA6Lv/4DuDrwF7AyfUNZyQbqqURDESSJjGNClHTKiwjtTq9BwEPImus/grwvvxTZ+U3wW0Kl9xLIxiIJE1iGj1Es1IhKqbLvtnvtn8C/B2wDTh24HNNYIVIGsFAJGkS9hAtKKbLvgTQ77ZvBf4xP3dWLSMazQqRNIKBSNIkDEQL7heIcu/NP57c6vRq32Cy1entBjwsP7RCJA0wEEmaxDT2IWp8D1HeI1RMiw0Gon8nCx77AL8x7XGNUNzU9U6gifsjSbUxEEmahD1EmQcDh5HtTH1lcbLfbfcZaK6uYVzDvKmrtAgDkaRJOGWWKabLvt7vtu8a+txFwD3Aca1O71HTHdYuvGWHtAgDkaRJuA9RZlT/EAD9bvsW4CP54QunNqLRvGWHtAgDkaRJeOuOzKKBKFdMm/1Wq9PbZ5HnTIMVImkRBiJJk5j7KbO8oXq5QPQZsrvebwROmsKwFmOFSFqEgUjSJOY+EAEPAQ4C7gV6o56QNzAXVaJaps1and5BwMH5oTd1lYYYiCRNYhqBaO9Wp7ehguuXpagOfa3fbW9b4nkXAduBJ7Q6vXb1w9pFUR36Xr6TtqQBBiJJk5jGPkTQ7CpREYiuWOpJ/W77JiDND+uoEnnLDmkJBiJJY8l3PS4qN6UHon63fS9QLGGfhUC0WP/QoGLn6t9qdXp7L/nM8nnLDmkJBiJJ4xr8H3oVFSJoeB/RChuqB/0r8F1gf+DXKxrWYqwQSUswEEkaVxGIdpBtPFiFpt++46Fk4eYe4Krlnpw3V/91fjjtaTOX3EtLMBBJGtfOhur8FhVVaPrtO4r7l13Z77ZXGgrfTxYij291eo+oZlj3N3RTV6fMpBEMRFJNWp3e4a1O78RWp3d43WMZU5UrzAqNnjJjddNlAPS77RuBj+WH06oSPZSs3+tO4PtT+prSTDEQSTVodXpnA5uBTwObW53emTUPaRwGohWuMBuhaK4+tdXp7VnieBazs3/Im7pKoxmIpCnLK0LvYuHf3zrgghmsFFW55L7Q2B6iVqe3joUpsxVXiHKfAq4HDgR+rcxxLcL+IWkZBiJp+o5i139764EjaxjLJKZRIWpyD9GRZOO6G/jGal7Y77Z3ABfmh2eVPK5RvGWHtAwDkTR91wLD0xY7yO51NUvmfcqsmC77ar5n0mr9Ddn3wQmtTu/h5Q1rJJfcS8to8nb40prU77ZvaHV6Lwbek5/aAZzd77ZvqHFY4ygCUZW3gWhyIBp3ugzY+X3wcaBD1lz96rIGNoKbMqqRojA4FDgZOA04JU7Sq6Iw2AA8E3g+cE2cpK9b5LW/D7wU2BP4KHBWnKRjbwFihUiqQb/bvgDYmh8+td9tX7jU8xtqmlNmjeshYowVZiMUzdXPb3V6e0w4npFand7BZDefhaw6KTVCFAYbyRaXnAQcO/CpDwJvA44HRv67iMLgWOCPgDOAJwO/Cpw6yXgMRFJ9bs4/zuqqn2lOmR3RpKbzVqe3Hnh0frjaFWaDPkG2DP5gsh/oVSimy673pq5qmLuAI4Bo6Pw5cZI+nKUrmsXeZ5uB7wHbyG6ePDYDkVSfIhAdUusoxjeNQPT4/OOjaNb2BA8H9iX7u489DdXvtreT9RJBdc3V9g9p2vaNwmC/gT8jqzxxkm6Pk3TLiPM3LvcF4iS9EngncCVwC/B14KJJBm0gkupjIFpCXhF62cCpJm1PUEyXfSUPNZO4kOy33ae1Or2HLffkMbjkXtN2Ndl0d/Hn3LK/QBQGjwZeAITA04BHAr8xyTUNRFJ9Zj0QVb0PUZO3JyijfwiAfre9GbgkP3zBpNcbwSX3mrajyfr+ij/nVfA1fhH4TpykH4mT9LNkN05+1iQXnMoqsygMEuDX4yRtRWHwELKy1nFkv7GcESdpLwqD44EPkzWaPidOUn+b0VpXBKKDax3F+KqeMiu2JxgMRU3ZnmCiFWYjvI/sh/nprU7vD8Zcxr8YK0Satq1xkt6x/NNWLwqD9XGS7iDb++thURg8FdgCPAn4q0muXXmFKAqDXwH+58Cp88mW6R4DfI2FzcleDbwG+FvgxVEY7BmFwfuiMGhVPUapJrNeIao0EOXbEJzFQvNknwZsT9Dq9DaQ9TRBeYGoC/w3cBhwblnTgvlNXR+aH1oh0kyLwiAkX8QQJ2kX+DPgH4DPkVWI3j7J9SutEEVhsB9ZYnsHcE5++gTgd+IkvT4KgwuBf4/CYG+ycHYDsBvwU8CbgMviJK3qLtpS3dZKIKps5VK/276w1ekdBvwJcGlDtic4muzvvhX4VhkX7Hfb97Y6vSuAXwbeCPxhq9M7q4S/78PIfs7/BG/qqoaKk/Q6YJfiR5ykTx06ToBk4Pj3gd8vaxxVV4jeDPwLWXIrHMLC/iu35R8PJgtOHyULQtcDh8dJ+oFRF43CYI88bO1b/pClqVkrgajKVWaw0F/zyPz+YXUr+oe+XNaNUvOK0GD/Q1kN5IM3dfWXS2kJlf1wyXuCAuBVK3h6P07SS8g2D3sE8DzgkigMrovCoDtiyd65ZJ3rloA1y27JPxqIlvY1sv1KDiBrtK5baQ3VA6pqIHfJvbRCVf629XqygPMd4EMAURjcRvY/gf3z5xTb8d8MkDdKvTt/7cuAF+Wff/bQtc8j61w/Gml2WSFagbzBuNj88AlVfq0VqiIQVXV/O2/ZIa1QlYHo+WSblx0L/HZ+7ljgUuDUfLXZ6cDlcZLeDRCFwQnATXm1aD3ZlNqd+eOd4iTdlnewb0WaXUUg2qvV6e2z5DObaVoVIoDL84+1BqK8SfmR+WFpgWiggXzHwOm/KKGB3AqRtEKVBaI4Sf87TtLr8mapLfm564BXkjX5fYNspcYLB15zKQsbsb2JbFv7w1noIZDWkq1k283DbFaJqt6HaFARiB6/5LOq9wiyG0neDvxXmRfOG6g3kfVSQvazb1JWiKQVmso+RPnyuFb++HrgF5Z4bj//eDFw8TTGJ9Wh3233W53ezWT/4zsYuK7eEa1aHRWidqvT26fGe3KV3lA9qN9t39Dq9P6IbKuSoNXpHdTvtn84zrXym7oemB96U1dpGU1YsSHNs1nuI5paIOp3298nWza+noVNEetQRf/Q/fS77a8CXwF2B35zgksV1aHr+932NEKrNNMMRFK9ZjIQ5Xd7L1Z/Tqta04Q+osoDUa7Yf+jMVqc37ua03rJDWgUDkVSvmQxEwF4Dj6dVfai1j6jV6e0OtPPDqgPR35P1l7UZvyLmLTukVTAQSfWa1UC098Dju6f0Nb+Qf3ziBFWTSfwc2TTWj4DvVvmF+t32j4D/nR+eOeZlrBBJq2Agkuo1q5sz7uwfmuIOyFeQLUt/IOWswFqtndNlU/o7F9NmJ7c6vb2XfOZoVoikVTAQSfWa1QrRNJfcA5A3Bl+ZH9bRR1QEoiuWfFZ5PkNWidoPeO5qXphP73lTV2kVDERSvWY1EE1zyf2gOvuIptVQDUC+rP9v8sPVTps9lGxF3lbgB2WOS1qrDERSvQxEq1P0EU21QtTq9PYEfj4/nEogyl0E9IETWp3eau5rtnO6zJu6SitjIJLqVQSig2sdxeoVgWjaGyQWFaLH5NNC09Im28j2FuD6aX3Rfrf9PeCT+eHpq3ipt+yQVslAJNWrCEQPmPL/4CdVV4XoWrJVXnuysAR+Goql79NqqB5UNFc/v9XprfTuAt6yQ1olA5FUr9tYuKHnLFWJaglEeRipo49oqv1DQ/4PWWXqQcAzVvgaK0TSKhmIpBrljbOzuPS+rgoR1NNHVFsg6nfb9wB/lx8u21yd79HkkntplQxEUv0MRKsz1Vt45HsAHZMfTmvJ/bBi2uw5rU7vsGWeezBwAFkztjd1lVbIQCTVbxZXmk19H6IBX8w/Hpnf0b1qjyRbwn4T2Q1mp67fbX+drDK2AThlmad7U1dpDAYiqX6zGIhqqxDlt7UopoIeN4UvOe0dqhdT7El0xjK3LvGWHdIYDERS/QxEqzfNabOdK8ym8LWW8iGy9/tnWfrvbf+QNAYDkVS/WQ5E096HqDDNQFTnCrOd+t32HUCSHy7VXG2FSBqDgUiq3yxuztiUCtHjW51eZT/HWp3evmQVGaivoXpQ0Vx9Uj62UawQSWMwEEn1m+UKUV2B6Kr8a+/HQkWkCseS/Zz8Qb/bvrHCr7NS/wF8C9gXeN7wJ/PNPX86P7RCJK2CgUiqn4Folfrd9nYWprCqnDZrxHRZIW/qXuqGrw9j4aauTQhw0swwEEn1cx+i8Uyjj6hRgSj3t2S7mz+p1en97NDndt6yw5u6SqtjIJLqV1SIDmp1eutrHcnK1bkPUWEat/BoygqznfKpu4/nh2cMfdpbdkhjMhBJ9fth/rEFHFjnQFahCRWi4hYeP79Eg/HYWp3eYH9SExqqBxXN1ae2Or3dBs7bUC2NyUAk1azfbd9Ldgd3mJ1ps9oDUb/b/gHwPbKfY8ct8/RxPIospF7f77a3VHD9SXycbOfsQ4FfHjjvkntpTAYiqRlmrbG67n2IClX2ERUhq2nVoSJEX5Qfngne1FWalIFIaoap7EXU6vQOb3V6J7Y6vcMnvFTtFaJcMW1WRR9RExuqBxWrzZ7d6vQeRBam98ebukpjMRBJzVB5hajV6Z0JbAY+DWzOj8e5TovmBKKdFaJl7u81jkYHon63fQ3ZvkTrgNNYqA5t7nfbd9U2MGlGGYikZqg0EOUVofey8G9+HXDBmJWiPQce1x2IvgxsB34KeEhZF211eo8AjswPGzdlNqBorj6DgSX3NY1FmmkGIqkZqq4QHcWu/97Xs/A//dXYZ+BxrZWIvBLy1fywlD6ivHL2tYFTQRnXrcg/km3CeCTwgvyc/UPSGAxEUjNUvTnjtcB9Q+d2AN8e41rFdNm2fre9Y6JRlaO0PqIRlTQYv5JWuX63vRX4UH742PyjFSJpDAYiqRkqrRD1u+0bgLOGTv+v/PxqNaV/qFDmSrMyK2nTcuHQ8Q9HPkvSkgxEUjNMY9n9B8iqQoXLxrxOU5bcF4pA9OhWp7fHhNe6lmyV1qBxK2nT8gXgBwPHHxq3YV6aZwYiqRmmEYgOI6t2FB435nWaViH6L7KqyB7AIye81i3ArQPHO4Czx6ykTcuDgQcOHE/SMC/NLQOR1Aw79yGqYPl44cFDx2siEOU3MS2rj+ilwEFkd4p/BrCp320PT0k1zVFkO2oPavo0n9Q4BiKpGYpAtBuwX0VfY7hiMG54aFQgyk3cR9Tq9A4Afi8/fF2/2/5UwytDhTIb5qW5ZSCSGqDfbd9Ntnwaqps2KwJRsdHgI1ud3p6LPXkJazIQAecCBwBXAX878YimZKBhvugPm4VpPqlxDERSc1TdR1QEos8BW4ANwLFjXKfYh6hJgeg/848PbXV6q37/Wp3eQ4Dfzg9f25DtBFYsn9bbBJzIbEzzSY1jIJKao+q9iIpA9D3gi/njcabNGlch6nfbtwHfzA/H+Tv9EVlT9qVkd5KfOf1u+4Z+t/0ZK0PSeAxEUnNMq0J0AwuBaJzG6sYFotxY02atTq8NnJof/m7epC1pzhiIpOaoOhAVq8zKCkRN2YeoMG4f0ZvIVmkl/W77i8s9WdLaZCCSmqOyQJQv5R+sEBU9N0e2Or0DV3m5plaIiqX3j2t1euuXfGau1emdCDyL7Aaxv7fM0yWtYQYiqTmqrBAdRNYjA/CDfrd9K9lybVh9laipgejrZFWrjSzc+X1RrU5vHfCW/PCCfrftMnVpjhmIpOaoMhAV1aEt/W77nvzxuNNmjQxE/W57OwuVr5VMm4XAcWTbHfxRVeOSNBsMRFJz7NytuoJrD06XFXZOMa3yWo0MRLkV9RG1Or3dgT/ND9/S77a3VDoqSY1nIJKaYxoVosFAtHPp/SpvF9LEfYgKRchbrkJ0NvBQ4L+Bt1U6IkkzYUPdA5C0U5X7EA2uMCtcCdxLVpHaBHx3hddqcoWoCETHtDq9jf1u+8fDT2h1evsBf5AfvqHfbTdttZw0N6IwOBQ4GTgNOCVO0quiMNgAPBN4PnBNnKSvG/G6zwAnDJ3+1zhJf3HcsVghkpqjqBDt3er09l7ymau3S4Uov13IlfnhaqbNGhuI+t32jcBmsmX0j13kaa8mC4HXAO7oLNUkCoONZP9eT+L+u+Z/kKxyezwLi0GGdchutXMAcCDZvfs+Msl4DERSc/wYKBqey64SFYHo+0Pnx+kjauo+RIVFp81and4DgVfkh+fmjdiS6nEXcAQQDZ0/J07ShwNXL/bCOEm3xkl6W5yktwFPJvsl56JJBuOUmdQQ/W673+r0biab3jqE7DensozqIYKsj+glrO52F42tEOUuB57H6D6iN5CN/3NAOr0hSXNl3ygM9hs43hYn6bbhJ8VJuh3YEoXBpqHzN67y670aeF+cpBP9kmaFSGqW0hur84bp/y8/HBWIAB7d6vR2W+ElZyEQwVCzeKvTOxo4Mz/0Fh1Sda4Gbh/4c25VXygKg8eRVYjeOem1rBBJzVLFSrP9WFgZNjxl9i2yH1gPAI4BvrqC6zU9EH2FrFn8UO7fLH4esB74p363fVk9Q5PmwtHAYJVnl+pQiV4NfDRO0usnvZCBSGqWKvYiKlaY/Wh4RVW/276v1en9J/CLZNNmX13qQnnFpcnL7ul323e3Or2vkjVVPwH4bqvTezIQAPdR4W+rkgDYGifpHVVcOAqD9XGS7sgfPwz4NeApZVzbKTOpWaqoEC3WP1RYzY7Vu7Pwc6ORgSg3PG1W3KLjwn63/c2axiRpAlEYhMAVA6deAXw5TtJSKr5WiKRmqWIvojID0eB2AE0PRC8jqxD9KvAkshUtb6hxTJJGiJP0OrKtMobPP3XoOAGSgeOXlDkOK0RSs1RZIRruHyoUgeiYVqe3cZlrFYHo3n63fe/EI6tOUSF6NPDm/PHb+t32D2oaj6SGMxBJzTL1KbN8M8Pvkf2G9phlrtX0hurCd8mqbbsBDwduZWHaTJJ2YSCSmqWOHiJY+bTZTASifEn9YEXsALK720vSSAYiqVnqCkQr3bF6JgJRq9M7HGgPngIuyM9L0i4MRFKzFIHoAa1Ob/eSrjnqxq7DigrRcjtWz0QgAo5i1ybN9cCRNYxF0gwwEEnN8iNgR/544r2I8pvEHpgfLhWIriDbo+fwVqf3oCWe1+g9iAZcS/b3GbSD7AaQkrQLA5HUIP1u+z7gh/lhGZszFtWhnwCLbpTW77a3Al/PDxe7SzzMSIWo323fAJzFQrjcAZydn5ekXRiIpOYps49oZ//QCu7dtZLG6pkIRAD9bvtCslt3nAhsyo8laSQ3ZpSap8zNGVfSUF34ItnNT5fqIyoC0UR3lZ6WvCJkVUjSsqwQSc1TSYVoBc8tKkSPbXV6i/1smJkKkSSthoFIap4yA9FKVpgVriK7vcV+ZJsZjmIgkrQmGYik5qmlQtTvtrezcOPExabNDESS1iQDkdQ8VQSixe5jNmy5xmoDkaQ1yUAkNU9dPUSw/I7Vs7IPkSStioFIap5SAlG+0/Vh+eFKA1FRIXpkq9Pbc8TnrRBJWpMMRFLzFIFo0o0Zix2n72FhKf9yNudffzfg2BGfNxBJWpMMRFLzFOHloCWWv6/EzhVmK9iUEdh5l/il+ohmah8iSVopA5HUPEUgWsfCfcjGsdr+ocJSfURWiCStSQYiqWH63fa9wG354SR9ROMGoqJCNGrpvYFI0ppkIJKaqYzG6tUuuS/8Z/7xyFanN1yhMhBJWpMMRFIzlRmIVlUh6nfbtwLX5oePHfq0y+4lrUkGIqmZagtEucUaq60QSVqTDERSMzUlEA33ERmIJK1JBiKpmSbai6jV6a0HHpgfTlQhanV6rfyau5HtTwQuu5e0xhiIpGYqlt6PWyE6DFgP7ABuGuP1XwXuzb/+Efm5vQY+b4VI0ppiINLca3V6h7c6vRNbnd7hyz97aiadMiv+Ljf2u+0dq31xv9u+G7gyPyymzYrpsvvIdr+WpDXDQKS51ur0ziS7XcWngc35cROUFYjGmS4rDDdW7+wfWunO15I0KwxEmlt5Rei9LPw7WAdc0JBKURMC0fCO1TZUS1qzDESaZ0ex67+B9cCRNYxl2M5AVDQ1r1KZFaLHtDq9DbgHkaQ1zECkeXYtWT/MoB3At2sYy7AiEO0G7DfG63fe2HWCMXwLuIOsmfrnsEIkaQ0zEGlu9bvtG4CzyEIQ+cez8/O16nfbd7GwtH2cabOJK0T9bvs+Fm7j8TgMRJLWMAOR5lq/274Q2AScCGzKj5tikj6iMqbM4P59REUgcg8iSWvOhroHINUtrwjVXhUa4WaysLaqzRnznqNxb+w6bHDH6n/PH1shkrTmVBqIojB4NfAKsmbMS4DTgYOAi4DjgGuAM+Ik7UVhcDzwYWAr8Jw4Sa+pcmzSDBh3c8aDgd3zxz+YcAxFIDqGbLNHMBBJWoMqmzKLwuDpwJ8ApwBPBP4H8DvA+WQl92OArwHFFMWrgdcAfwu8OAqDPaMweF8UBuOssJHWgnGnzIrq0E39bnuiDRT73faNwPeAFnB8ftpAJGnNqbKH6B7gNXGS/t84Sb9OVg06DDgBuDhO0uvJwtBxURjsnY/lBrLfaNcDbwIui5PUDeA0r8YNRGWsMBtUVImekn80EElacyqbMouT9FLgUoAoDB4JPIGsAvQysmkxgNvyjwcDfwV8lCxInQ88Lk7Sc0ZdOwqDPYA9gH2rGb3UCJNWiMoMRM8FHpAfG4gkrTmVrzKLwuBw4GPAW+Mk/cIiT+vHSXoJWX/RI4DnAZdEYXBdFAbdPAANOhe4Hbi6qnFLDdCkQDTIQCRpzak0EEVhcDDwL2T3iXp9fvoWYP/8cbHh3M0AcZLuAN6dP/dlwIvyzz976NLnkf22enQV45YaYtJANOkKs8KXuP8GlgYiSWtOlU3V+wIfB64HXgk8IAqD/cim0U6NwuAhZKvOLo+T9O78NScAN+XVovVkU2p35o93ipN0W5ykd7Aw9SatRY2oEPW77a3ANwZOuQ+RpDWnygrRc4HHAr9EVhX6EdAjC0cbyH7APgp4YfGCvO/oZfnhm4BPkP1wv6TCcUpN1YhAlBucNrNCJGnNqbKp+iKy/YZG+YUlXtfPP14MXFzB0KRZUexDtHer09u7320vG0SGNmUsMxB9ATgjf7xnideVpEbw1h1Sc90B3Js/Xulu1fuxcFf6snqIAB408PgvWp3emSVeW5JqZyCSGqrfbfdZ/bRZUR26dSUVpZVodXqHA78/eAq4ID8vSWuCgUhqtnEDUZnVoaPY9WfFeuDIEr+GJNXKQCQ127iBqMz+oWu5/7J7gB3At0v8GpJUKwOR1Gy1B6J+t30DcBZZCCL/eHZ+XpLWBAOR1Gy1ByKAfrd9IbAJOBHYlB9L0ppR2bJ7SaVYbSAq+8auO+UVIatCktYkK0RSsxV7Ea102X0lFSJJWusMRFKzNWLKTJLWOgOR1GwrDkStTm8f4ID8sMxl95K05tlDJDXbaipERf/QVrJdriWp0aIwOBQ4GTgNOCVO0quiMNgAPBN4PnBNnKSvW+S1ewF/DDwP+D9xkr5kkrEYiKRmKwLR/q1Ob7d+t33vEs/dOV2W73ItSY0VhcFGYDPwVeDYgU99kOzm7/sB1y1xiQ+TbRx7Otn9FidiIJKa7VayTRHXkTVW37jEcytbYSZJFbgLOALYG/juwPlz4iS9MQqDzyz2wigMHgN0gGPjJL2yjMEYiKQG63fb97U6vR+STZkdwtKByIZqSU2wbxQG+w0cb4uTdNvwk+Ik3Q5sicJg09D5pX7OFZ4E3A78YRQGjwUuA86Ok/T2cQdtU7XUfCvtIzIQSWqCq8nCSvHn3Aq+xgHAbsA/ACHwROC1k1zQCpHUfKsNRK4wk1Sno7l/NXuX6lAJtgDXxUn6DwBRGPwz0J7kggYiqflWujmjFSJJTbA1TtJKVrpGYbA+TtIdwKeAt0dh8D+BbwJPBz40ybWdMpOazykzSXMvCoMQuAIgTtLvAKcA55OtMLsceNMk17dCJDXfsoGo1entDhyaHxqIJM2MOEmvA1ojzj916DgBksWOJ2WFSGq+lVSIHpR/3Ab8sNrhSNLaYyCSmm8lgchNGSVpAgYiqflWE4hcYSZJYzAQSc23qgpRxWORpDXJQCQ1XxGIDmp1eov9mzUQSdIEDERS8xVN0uuAAxd5joFIkiZgIJIart9t30O2/T0svjmjN3aVpAkYiKTZsFwfkRUiSZqAgUiaDYsGolantwF4YH5oIJKkMRiIpNmwVIXoMGA9sIPshoeSpFUyEEmzYalAVEyX/aDfbe+Y0ngkaU0xEEmzYSWByOkySRqTgUiaDUsFIleYSdKEDETSbLgl/2iFSJIqYCCSZkNRIRq1D5GBSJImZCCSZsNKeoi8saskjclAJM2GnYGo1em1hj5nhUiSJmQgkmZDEYh2BzYWJ/NwZFO1JE3IQCTNgH63fSdwZ344OG12MFlI6gM3TntckrRWGIik2TGqj6iYLrspvwmsJGkMBiJpdiwViJwuk6QJGIik2TFqLyJXmElSCQxE0uywQiRJFTEQSbNj1OaMBiJJKoGBSJodVogkqSIGIml2jApE7kEkSSUwEEmz436BKN+U0QqRJJXAQCTNjuEK0QOAffLHrjKTpAkYiKTZMRyIiurQrf1u+64axiNJa4aBSJodRSDap9Xp7YXTZZJUGgORNDvuAO7NHx+CgUiSSmMgkmZEv9vuc//dql1hJkklMRBJs2Vwc0YrRJJUEgORNFsGG6sNRJJUEgORNFtGBSKX3EvShAxE0myxQiRJFTAQSbOlCESbgP3zxwYiSZqQgUiaLUUgOjb/+ON+t31HTWORpDXDQCTNlmLZ/c/kH60OSVIJDETSbCkqRMW/XQORJJXAQCTNlpuHjl1hJkklMBBJs2U4EFkhkqQSGIik2XIr0B84NhBJUgkMRNIM6XfbO4AfDpwyEElSCQxE0uwZnDYzEElSCQxE0uwxEElSyQxE0uwp9iK6B9irzoFI0lphIJJmz0H5x92Bza1O78w6ByNJa4GBSJohrU7vcOApA6fWARfk5yVJYzIQSbPlKKA1dG49cGQNY5GkNcNAJM2Wa4H7hs7tAL5dw1gkac3YUPcAJK1cv9u+odXpnQVcQFYZ2gGc3e+2XW0maeZEYXAocDJwGnBKnKRXRWGwAXgm8HzgmjhJX7fIa68BHj5w6mVxkr5z3LEYiKQZ0++2L2x1ep8kmyb7tmFI0iyKwmAjsBn4KnDswKc+CDwK2A+4bolLPBB4DvAf+fGdk4zHQCTNoDwEGYQkzbK7gCOAvYHvDpw/J07SG6Mw+MxiL4zCYB9gI/BfcZLeVsZgDESSJKlM+0ZhsN/A8bY4SbcNPylO0u3AligMNg2dv3EFX+NBxdOjMDgYuAR4aZykd485ZpuqJUlSqa4Gbh/4c24FX2MLcA7wYuBU4FeBl0xyQStEkiSpTEcDg1WeXapDJdgOfChO0psAojD4N6A9yQUNRJIkqUxb4yS9o4oLR2GwPk7SHcBTgTQKg6cBPwSeDLxtkms7ZSZJkhovCoMQuAIgTtJ/Bt4C/CPZKrNPAO+Y5PpWiCRJUm3iJL2OXXfgJ07Spw4dJ0AycPw6YOQeReOwQiRJkuaegUiSJM09A5EkSZp7BiJJkjT3DESSJGnuGYgkSdLcMxBJkqS5V8s+RFEYnAScBxwAfBR4EfD/5x8/BvxmnKT9OsYmSZLmz9QrRFEYHAS8nywAPRl4JvAqIAIeDzwcODYKg6dEYXDWtMcnSZLmTx0VoseR7Uj5gThJ+1EYfJzsniR3AdcBdwAHklWQOjWMT1rbXvvQ0dXXN31nl51i59oK3qfWm28d+Zz+aw6s5730v600tjoC0SHATwamxG4DHgpcCtwOfBp4AfDHcZJuGXWBKAz2APYA9s1PHRaFQamD3LN9/sjzP9w++i17aRg8uNQBaE1J2+ffMOp80HvV4VW9drHX3bCC7+FFX3v7s0e/dvMjlv17vPOIb4y85kpeO4mVfN1Rf9+VvE+L/px41RNGBpPlviZM+h6P/992Jd+Lmj1T/nd3WAXXnJpWvz/dVp0oDE4F3hYn6cH58fnAo+IkfVoUBrsBzwWeBqwHng78aZyk7x66xhuAP5zqwCVJ0ko8Jk7SL9c9iNWqo0J0C7AxCoN1cZLeB+wHFJWgnwJeCbwCeBtZX1ECvHvoGuflnwf4WWBkAh7DvsDVwNHA1pKuOU98/ybj+zc+37vJ+P5NxvdvwWHAV+oexDjqCERfBHYAZ0dh8G/As4A/zj/3B8DLgO3APcAPGX0H3G3AtvzwC2UNLAqD/fKHN8ZJekdZ150Xvn+T8f0bn+/dZHz/JuP7dz/fr3sA45r6KrM4SW8BTgd+F/g88CngA/mnz4qT9HLgy8BNZOHpL6c4vG3AG1kIW1od37/J+P6Nz/duMr5/k/H9WwOm3kMkSZLUNO5ULUmS5l4tO1U31agdtPN+JeWiMPgk8EsDp95KNq15EXAccA1wRpykvSgMWsCbyKZI7wXOj5P0z6c85FpFYXAocDJwGnBKnKRXDX3+5WQbk+5GNnX8mnx/rjbwN8DPAF8CTouT9Pp8y4l3Ab9GtmXFuXGSfmhKf52pWsF7dw3ZRq6Fl8VJ+k7fu0wUBq8mW6CyD3AJcHqcpD8Z+Lzfe4tYwXvn994aZIUot8gO2i+odVDN9EDgJWSh8QDg9cD5wE+AY4CvARfmz30W2e1Yng2cBbw1CoOfn/aA6xKFwUZgM3AScOyIzx9D9t6dDjwHeCnZewXw18AVZO/pvWTBE+BM4BeBJwJvBv4mCoNDKvtL1GS59y73QLL3rfhefG9+fq7fO4AoDJ4O/AlwCtnf938AvzPweb/3FrHce5fze28NMhAtGNxB+xvAx4Gn1DukRnog8N04SW/L/9wNnABcHCfp9WRh6LgoDPbOz38uTtIvxUn6z8B3gONrG/n03QUcQbZ9xChPAa6Nk/RTcZJ+Afgc8JQoDPYCHgu8P39P/5aF78UTgE/ESXo12Q/h9WSVubVmyfcuCoN9gI3Afw18L97je7fTPWQVn/8bJ+nXySq3g5vm+b23uCXfO7/31i6nzBYstoO2clEY7A4cBPxZFAZ/TbZK8Gyy967Ye+O2/OPBQ+eLz83Nb0Vxkm4HtkRhsGmRpyz2/hTv0dah88Vrvpdf/74oDH7MGnxPV/DePah4ahQGB5NNa7wU3zsA4iS9lGz3f6IweCTwBOA1A0/xe28RK3jv/N5bowxES3MJ3v31yf7hX0t2z7m/A96wxHNXc16Zcd63eXxPtwDnAP8J7An8A/BNso1ch83texeFweHAx4C35pWgpfi9N2CJ987vvTXKKbMFO3fQzo8Hd9BWZj3wT3GS/kv+AyIF2mTv3f75c4oNym4eOl98zvd0wWLvz8358f5D5+/3mrxpfSPz+Z5uBz4UJ+nn4iT9NPBvZN+Lvne5vHrxL2T3h3z90Kf93lvCMu+d33trlIFoweAO2keTNQR/ptYRNc+RwA1RGJwUhcFDgWcAPbLy8qlRGDyErEnz8ry36FLgSVEYPCEKg2cADwM+W9PYm+izwEOjMOhEYXAc8CTgM3GS3kW2QuUF+Xv6Wyx8L14KPDsKg0eQNWpuJ/tNdd48lex78Sl5g/CTgZ7vXSYKg33J+iCvJ7sd0gMGdlMGv/cWtYL37qn4vbcmGYhyy+ygLSBf9vzbZCsnvgp8m+x2K68km379BvAo4IX5Sz5OtiT/Y2Qr+F4eJ+k3pzvq5onC4LooDE7L389XkDVZfgJ4Z5ykn8yfdibZSpVvkJXlfzc//9f5cy8DXke2HPjWaY6/TgPv3T8DbwH+EfgPsvfkHfnTfO+ym2Q/lmyLjFuAHwE9v/dWZLn3zu+9NcqdqqUpisJgPVmz5XPjJP1UzcOZKb53k/H9G5/v3XywQiRN12PJbkj8r3UPZAb53k3G9298vndzwAqRNGVRGLQGtnfQKvjeTcb3b3y+d2ufgUiSJM09p8wkSdLcMxBJkqS5ZyCSJElzz0AkSZLmnoFIkiTNPQORJEmaewYiSZI09wxEkiRp7hmIJEnS3DMQSZKkuWcgkiRJc89AJEmS5p6BSJIkzb3/B0BCSAS4DpbBAAAAAElFTkSuQmCC);} 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);} 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);} 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);} 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);} 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r9L3em3GBcGpiBSJKGY/pk6juCVjJhiiy+FTi1ajq5WrUwEElSzaIkfzDwvKrpcNlw9IfN0ijJNw9aiSaCgUiS6tefTH1+kcW/Dl3MhPop8AtgHeDgwLVoAhiIJKlGTqZeHE6uVt0MRJJUr2cCD6WcTH3aas7VYL4CLAUeCewVthSNOwORJNWrP8nXydRDVmTxX4EvV00nV2sgBiJJqomTqYPoD5u9IEryrYJWorFmIJKk+ryScjL1BU6mXhxFFv+CcoL1WpST2aUFMRBJUg2cTB1Uf3+zw6s/B2ne/OBIUj2eCTyMcjL1VwPX0jRfBW6jvP/PDFyLxpSBSJLq0V+Z+hQnUy+uIotvp9zOA+A1IWvR+DIQSdKAoiTfGmhVzc8GLKXJ+pOrnxcl+TZBK9FYMhBJ0uBeSTmZ+sIii38VuJZGqiax/xhYAhwauByNIQORJA1gxmTqE1Z1roZu+uTqJUEr0dgxEEnSYPYGHk45qdeVqcP6GvAXYDtgn8C1aMwYiCRpMNMnU98etJKGK7L4TuBLVdOVqzUvBiJJWqBqMvXzq6ZrD42G/rBlEiX53watRGPFQCRJC3cwTqYeKUUWXwqcS/nv22GBy9EYMRBJ0gJUk6n7w2X2Do2Wfi/Rq6IkXzNoJRobBiJJWphnMDWZ2pWpR8vXgRuBhwDPDVyLxoSBSJIWxsnUI6rI4mXAF6qmk6s1JwYiSZqnKMm3wsnUo67/57JvlOQ7hCxE48FAJEnz90pgLeAnTqYeTUUWXwF8B4iYWjhTWikDkSTNw4yVqe0dGm39ydWHRkm+VtBKNPIMRJI0P3sBjwD+CpwathStxn8DfwYeDPxD4Fo04gxEkjQ/TqYeE0UW3wOcWDVfE7IWjT4DkSTNUTWZ+gVV0+Gy8fBZoACeFSX5I0IXo9FlIJKkuTuYcjL1T4ss/mXgWjQHRRZfBZxVNZ1crZUyEEnSHERJHjE1XHbCqs7VyDm+ej00SvJ1glaikWUgkqS52YupydSuTD1evgVcB2zB1PpR0v0YiCRpbvorHn+5yOKlQSvRvBRZvJypydWuXK1ZGYgkaTWiJN8SJ1OPu88B9wJ7RUm+U+hiNHoMRJK0etMnU/8idDGavyKLf085dAZTc8Gk+xiIJGkVZkymtndovPUnwx8SJfk+UZJvG7QajRQDkSSt2p7AjsBSXJl63J0J3ARsWv3+6ijJDwtakUaGgUiSVs3J1JNjG+BB09prACfYUyQwEEnSSs2YTO3aQ+NvRyCacWwJ5XIKajgDkSSt3EHA2sDPnEw9ES6nfNJsuhXAFQFq0YgxEEnSLJxMPXmKLL6W8s90eig6ojquhjMQSdLs9gQeiZOpJ0qRxScCOwF3VYd+G7AcjRADkSTNrt879OUii/8atBLVqsjiy4HTquaBIWvR6DAQSdIMUZJvAbywajpcNplOrl5f4oavAgORJM2mP5n650UWXxS6GA3F94E/AJsBzw1ci0aAgUiSpnEydTMUWbwC+HLVdNhMBiJJmuHpwKMoJ1N3Atei4eoPmz03SvLNg1ai4AxEknR//d6hrziZerIVWfxr4FeUG/e+OHA5CsxAJEmVqpfgRVXT4bJmOKl6ddis4QxEkjTlYMrJ1BcVWfzz0MVoUXQoF2p8cpTkbuHRYAYiSeIBk6ndt6whiiz+I/DtqmkvUYOtGboASRoRT6OcTH07TqZumpOBfYBXREn+3iKLi9AFNUU7bW0FvIyyd/bATrd3cTtt7QYcD+wM/A54XafbO2/G+9YAPgQcQrlh71eBN3S6vRULrcUeIkkqOZm6uXqUQfhhwB5hS2mOdtraCLgaeAmwS3VsDeDrwPnAIygnvX9hlrcfRhmG9qFcR+rg6joLZiCS1HhOpm62IotvB75WNR02Wzx3AtsD7WnH1ge+Anyw0+1dB3wP2HqW994AvLXT7f2s0+2dD1y/kvPmzCEzSSpXpl6HcjL1z0IXoyBOpupliJL8TUUWLwtd0BjbsJ22Np7WXtbp9h5wPzvd3nLg+nba2mHasaXAOwDaaWtN4FXAKbO8t9f/fTtt7UcZhv5rkKLtIZLUaK5Mrco5wHXApkAStJLxdylw67RfRy3wOicAm6/q/e20FVPO+XtTp9u7ZoHfBzAQSdJTgZ1wMnWjuZVHrXYCNpn265j5XqCdtj4EPBvYp9Pt3baScx4OnAX8v063N/APMw6ZSWq6fu9Qp8jiWf/iVWOcDPwzsH+U5JsXWXxT6ILG1NKVhZi5aKetd1D+f7kPcFs7bW1aXXN5O20t6XR7K9ppaxvK5RLOAD5anbO8GnJbEHuIJDVWNZk6rZquPdRwRRZfDPySciuPgZ5Y0kCOoexZugD4S/Xrqe20lQL9BVMPBx5K+aRZ/5xskG9qD5GkJjuQcjL1L5j6i1bNdhLlI+AHAp8KW0ozdLq9qyjXEuq3o5WfTbc6533A++qswx4iSY00czK1i/Gp0t/KY/coyXcMXYwWj4FIUlM9BXg05WTqrwSuRSOiyOI/AWdXTSdXN4iBSFJTHVG9OplaM51cvb6i6klUAxiIJDVOlOQPYmoytWsPaaYesJRy0u5TwpaixWIgktRE/cnUvwRcmVr3U2TxHbiVR+MYiCQ1ipOpNUf9YbMXR0m+btBKtCgMRJKa5inAY4A7mFqZWJrpHOBa3MqjMQxEkprGlam1WkUW34tbeTSKgUhSY1STqV9cNZ1MrdXpD5vtHyX5FkEr0dAZiCQ1ySsoJ1P/Cvhp4Fo04oos/g1wEeWuDm7lMeEMRJIaoZpM3V976AQnU2uO+r1EDptNOAORpKbYg6nJ1K5MrbnqACuAv4+S/JGhi9HwGIgkNUV/MvWpRRbfGrQSjY0ii/+MW3k0goFI0sSLknwznEythZu+lYf/bk4o/2AlNcErgHUpJ1P/JHAtGj//DfwV2AG38phYBiJJE23GZGpXpta8uZVHMxiIJE26JwM7A3fiytRaOLfymHAGIkmTzsnUqsO5wO+BTXArj4lkIJI0sarJ1P0F9U4IWYvG24ytPA4KWYuGw0AkaZL1J1PnOJlag+sPm+0XJfmWQStR7QxEkiZSNZm6P1zmZGoNrMjiS4Cf41YeE8lAJGlS7Q48FidTq15u5TGhDESSJtX0ydS3hCxEE6W/lceToiR/VOhiVJ8167hIO20tAY4CDgF+2+n2knba2g74ErAbcBlwaKfby9tp66nAacBS4IBOt3dZHTVIUl+U5JsyNaThytSqTZHF10dJfhawP2Uv0bsCl6Sa1NVD9DHg9cDbmJp9/2Hgdsr1P34NnFgdfztwJHAS8Lp22lq3nbY+205bUU21SNIrgPUo/+65MHAtmjxu5TGBBv6DbKetrYHXAK/pdHvf6HR7N1df2hM4pdPtXUMZhnZrp631q+95LfAHYAlwLHBep9tzwqOkgTmZWougv5XH9sBTA9eimtQxZPYkymDz4nbaOg64GHg1sCXlsBjALdXrFsAngW8Ad1P2Ij2p0+29eeZF22lrHWAdYMMaapTUHAnwOOAu4JTAtWgCFVl8Z5TkXeBQymGzHwQuSTWoo6tvM6AAzgP+Adga+I+VnFt0ur0zgc2Bx1DuPn1mO21d1U5bWRWC+o4CbgUuraFGSQ0QJflhlD+9Q/kD1QsDlqPJ1h82S93KYzLUEYiuB+7sdHuf6nR7vwBOBWLgRmDT6pyNq9cbADrd3grg05ST0d4IvLb6+v7TrnsM5RLpO9VQo6QJFyX5tpQTqPvzESPghOq4VLcfANdQ/jt1QOBaVIM6AtH5wLJ22npDO23tALSAiyj3fTmoetrsEOCCTrd3F0A7be0J/LnqLVpCOaR2R/V7ADrd3rJOt3cbU8NukrQqO/LAv9OWAI8IUIsmnFt5TJ6BA1Gn27uVslv6NZRPdNwEvLX6tSZwCbAr5byi/nvOpewZgnJS9RnAtsCZg9YjqbFum+XYCuCKxS5EjdEfNtvXrTzGXy3rEHW6vXMoV4Sdae9VvKeoXk/BiY+SBvfKGe0VwBFFFl8boBY1QJHFv42S/GeU6+29FPhE4JI0ANdPkDT2oiTfjqlH7V8MPAPYocjiE1f+LqkWbuUxIWrpIZKkwP4FWBv4fpHF3dDFqFFOBf4TeGKU5DsVWeyT0WPKHiJJYy1K8ocCh1XNd4esRc1TZPH1TM1/tZdojBmIJI27oyl7u88usvhHoYtRI7mVxwTwD07S2IqSfEemHnm2d0ih/A/lU47bAU8LXIsWyEAkaZy9m3KtoW8VWewmrgqiyOI7gf7cNYfNxpSBSNJYipL80cDLqqa9Qwpt+lYe6wWtRAtiIJI0rt5D+XdYr8jii0IXo8b7IeVWHhvjVh5jyUAkaexESf44yvWGoAxGUlDVVh79RYbdymMMGYgkjaP3Um7e2i2yOA9ci9Q3fSuPrYJWonkzEEkaK1GS7wq8ACgog5E0EqpFGX9KOdH/pYHL0TwZiCSNm/dVr50iiy8JWon0QG7lMaYMRJLGRpTkT6ScsHovU8FIGiWnAsuB3aIk3yl0MZo7A5GkcfKv1evJRRb/Lmgl0iyKLL4Bt/IYSwYiSWMhSvI9gH2BFUwFI2kUuZXHGPIPStK46IegLxRZfGXQSqRV+yZTW3k8PXAtmiMDkaSRFyX5nsAzgXuA9wcuR1qlaiuP06qmw2ZjwkAkaaRFSR4x1Tv0uSKLrw5ZjzRH/WGzF7mVx3gwEEkadXtTDjssAz4QuBZprn4EXE25lcc/BK5Fc2AgkjSyqt6hf6uaJxRZfG3IeqS5ciuP8WMgkjTK9gGeDNwJHBO4Fmm++sNm+0RJvnXQSrRaBiJJI2lG79Cniiz+U8h6pPkqsvgy4Ce4lcdYMBBJGlUJsBtwO/DBwLVIC+VWHmPCQCRp5FSL2fWfLPt4tfqvNI76W3k8IUryR4cuRitnIJI0ip4P7AL8FfhI2FKkhSuy+EbgjKppL9EIMxBJGilV71B/49aPFll8U8h6pBq4lccY8A9G0qh5MbAzcAvw0bClSLX4JnAr8LfAnoFr0UoYiCSNjCjJlwDvrZofKbL4lnDVSPUosvgu3Mpj5BmIJI2SlwGPAm4GPh64FqlO07fyWD9oJZqVgUjSSIiSfE3gPVXzQ0UW3xayHqlm5wFXARvhVh4jyUAkaVQcBDwcuAH4ZOBapFrN2MrDYbMRZCCSFFyU5GsDR1fNY4ssXhqyHmlI3MpjhBmIJI2CQ4AdgD8Bx4ctRRqOIot/B1xIuZVHO3A5msFAJCmoKMnXAd5VNT9QZPEdIeuRhsytPEaUgUhSaK8GtgWuBT4buBZp2L5KuZXH30VJ/pjQxWiKgUhSMFGSrwf8S9X892q9FmliVVt5nF417SUaIQYiSSG9BtgGuBr4fOBapMXiVh4jyD8ISUFESb4B8I6q+W9FFt8dsh5pEWWUW3lsC+wVthT1GYgkhfJ6YCvgSuCkwLVIi6YaGv5q1XTYbESsGboASc0TJflGwD9XzfcVWXxPyHqkAE4GDqfcyuP1TX26sp22tqLcsudg4MBOt3dxO23tRrn8xs7A74DXdbq982Z571uAtwFrAV8Ejux0e8VCa7GHSFII/whsTvmX3VcC1yKFcB7wf8CGwPMC1xJEO21tRDl/8CXALtWxNYCvA+cDjwB+BXxhlvfuDHyYcg2zA4A3APsPUo+BSNKiipJ8E8qf6gDeW2Tx8pD1SCEUWVzgVh53Attz/0Uq16f8IemDnW7vOuB7wGyrej8duLzT7Z3d6fYuBH5cHVswh8wkLba3AJsClwCnhS1FCupkyi1r9omS/MFFFv8pdEE12bCdtjae1l7W6faWzTyp0+0tB65vp60dph1bSvWwRTttrQm8iqngON2WwPQtfm6pji2YPUSSFk2U5A+iDEQA7ymyeEXIeqSQiiy+HLiA8t/iSdrK41LKp+j6v45a4HVOoBxan+v7Fzx/CAxEkhbXW4GNgZxynoDUdJO4lcdOwCbTfh0z3wu009aHgGcD+3S6vdtmOeVGyp7mvo2B6+dd6TQOmUlaFFGSbwm8qWq+u8jie0PWI42IrwIfA3aNknznIot/E7ieOixdSYiZk3baegflE3j7ALe109am1TWXt9PWkk63twL4AXBcO20llJtC7wF8ZJCi7SGStFjeDmwA/Bz4n8C1SCOhyOKbcCuPmY6h7Fm6APhL9eup7bSVUv79Qafbuxj4J+AzwBnAcZ1u76xBvqk9RJKGLkryB1M+Fgtl79BAY/3ShDmZ8tH7V0RJ/s6mza3rdHtXAdG0drTys+lOO+9jlL1rtbCHSNJiOBJYD7iQ8qc5SVMyyqekHoJbeQRjIJI0VFGSPwR4bdU82t4h6f6KLF6GW3kEZyCSNGxHAesAPwK+E7gWaVT1nzZ7YZTk6wetpKEMRJKGJkry7YBXV017h6SV+zHlRscbAq2wpTSTgUjSML0TWBv4fpHF5wSuRRpZbuURnoFI0lBESf4w4NCq+e6QtUhjoh+InhMl+TZBK2kgA5GkYXkX5dIeZxdZ/KPQxUijrtrK43wmbyuPsWAgklS7KMl3BA6qmkeHrEUaM5O4lcdYMBBJGoZ3A0uArMjin4QuRhojpwH3ALtESf7Y0MU0iYFIUq2iJH808PKq+Z6QtUjjptrK41tV016iRWQgklS391Auw/+NIosvCl2MNIb6w2Yvj5J8SdBKGsRAJKk2UZI/DnhJ1XxvwFKkcfYtyg1NHwI8I3AtjWEgklSn91avpxVZnIcsRBpXbuURhoFIUi2iJN8VeAFQAO8LXI407qZv5bFB0EoawkAkqS79EPSVIosvCVqJNP7OB/4X2AC38lgUBiJJA4uS/EnAAcC9wL8GLkcae27lsfgMRJLq0O8dOqnI4t8FrUSaHP1A9Gy38hg+A5GkgURJvgewL7Ac+LfA5UgTo8jiK4AfU/5b/bLA5Uw8A5GkQfVD0BeKLL4yaCXS5HErj0ViIJK0YFGS7wXsTbnVwL+HrUaaSKcBdwOPr9b50pAYiCQtSJTkEVMTqD9bZPHVIeuRJlGRxTcztZXHv0RJvm3IeiaZgUjSQj0TeBqwDPhA4FqkSfaH6vWlwNVRkh8WsphJZSCSNG9V71B/7tDxRRZfF7IeaVJVPUKvnXZoDeAEe4rqZyCStBD7ArsDdwLHBq5FmmQ78sB/q5cAjwhQy0QzEEmalxlzhz5ZZPGfQtYjTbjLKRc8nW4FcEWAWiaagUjSfB0A7AbcDnwocC3SRCuy+FrgcMoQRPV6RHVcNTIQSZqzKMnXYKp36ONFFt8Qsh6pCYosPhHYAXgGsEPVVs3WDF2ApLHyfODxwF+BjwSuRWqMqkfIXqEhsodI0pxESb6EqT3LPlpk8U0h65GkOhmIJM1VCuwM3AJ8NGwpklQvA5Gk1YqSfE3gvVXzI0UW3xKuGkmqn4FI0ly0gUcBNwMfD1yLJNXOQCRplaIkXwt4T9X8UJHFt4WsR5KGwUAkaXUOBB4O3AB8MnAtkjQUBiJJKxUl+drAu6vmsUUWLw1ZjyQNi+sQSZpVtXnkW4DtgT8Bx4etSJKGx0Ak6QGiJD8M+AxTvcjfK7L4joAlSdJQOWQm6X6qnqHpYQjgJdVxSZpIBiJJMz2dB/7dsAR4RIBaJGlROGQmCYAoySPKJ8pme5JsBXDF4lYkSYvHHiJJREm+GdABvgRsCFxOGYKoXo+oNpeUpIlkD5HUcFGS7wWcBPwtZfh5D3AssA3lMNkVhiFJk85AJDVUtcbQ+4AjgYhySOzlRRb/pDrl2uqXJE282gJRO211gRd1ur2onba2o+x63w24DDi00+3l7bT1VOA0YClwQKfbu6yu7y9p7qIkfxTwFeDvqkMnAm924UVJTVVLIGqnrX8Anj/t0IeB24GdKX8CPRF4IvB2yp9Gtwde105bRwKfAA7vdHtFHbVIWrlq4vSrgY8B61Fu1vrqIou/HrIuSQpt4EnV7bS1MeVTKZ+YdnhP4JROt3cNZRjarZ221q++37XAHygf4z0WOM8wJA1flORbAt8ATqAMQ98BYsOQJNXTQ/RB4NvAd4E3V8e2pBwWA7ilet2CMjh9A7ibshfpSZ1ur/+e+2mnrXWAdSifeJE0gCjJ9wG+CDyY8v+/o4CPFVl8b8i6JGlUDBSIqjlBLcqhsT1Wc3rR6fbObKetzYHNgDOB49tp6yrgYuCFnW5v2bTzj6J82kXSAkVJvi5lT+ybqkO/BV5WZPEvgxUlSSNo0CGzdwGbA1cCpwK009YtwI3AptU5G1evNwB0ur0VwKer974ReG319f1nXPsYYBNgpwFrlBopSvLHAT9lKgwdBzzBMCRJDzRoIHol8EhgF+Afq2O7AOcCB1VPmx0CXNDp9u4CaKetPYE/d7q9MynnEd0C3FH9/j6dbm9Zp9u7jamhN0lzECX5GlGSv4kyDD0WuB54bpHFbyyy+M6w1UnSaBooEHW6vT91ur2rOt3eVZR/6VL9/q2Uw3GXALtSPtXSf8+5lD1DUHblnwFsSzmEJmkAUZJvA5xO+RTZOsC3gMcVWXx6yLokadTVtg5Rp9vLKBd3o3q6bO9VnFtUr6cAp9RVg9RkUZI/D/gc5QMMd1H+YPLpIot9ilOSVsOVqqUxFyX5BsBHgCOqQ7+kXHH6kmBFSdKYcXNXaYxFSf4E4CKmwtCHgd0NQ5I0P/YQSWMoSvIllCu//xvl/8fXAQcXWfzdoIVJ0pgyEEljJkryvwVOplwRHuC/gCOKLL4pXFWSNN4cMpPGSJTkLwFyyjB0O3AYkBqGJGkw9hBJYyBK8o0p9ws8qDr0E8qJ01eEq0qSJoc9RNKIi5J8D8onxw4C7qWcN/RUw5Ak1cceImlERUm+JuUWN0dT/vByFXBgkcU/ClmXJE0iA5E0gqIkfzjloqW7V4dOAd5QZPGt4aqSpMllIJJGSJTkEeXQ2HHAhsBtwGuLLP5K0MIkacIZiKQRESX5ZsAJQFod+iHlENnV4aqSpGZwUrU0AqIkfwbl4/QpsBx4J/AMw5AkLQ57iKSAoiRfm/KpsbdTbo58OeXj9D8NWpgkNYyBSAokSvKdgC8Df1cd+hzwliKLl4arSpKayUAkLbJq4vQRwH8C6wE3A68qsvgbQQuTpAYzEEmLIErybYEdgZuA9wMHVF/6DuWmrH8IVZskyUAkDV2U5IcBn+H+DzHcDbwD+H9FFt8bpDBJ0n0MRNIQVT1DM8MQQFJk8bcDlCRJmoWBSBquHZl9eYt7FrsQSRo17bS1FfAy4GDgwE63d3E7ba0J7Au8Eris0+29cyXvPRp4A7Au8A3g8E63d/dCazEQScN1OVBQPlLftwJwY1ZJjdZOWxsBV1NuXr3LtC99GdgV2JhyD8fZ3rsL8K9AUl3jh8CPKJ/WXRAXZpSG6zrghmntFcARRRZfG6geSRoVdwLbA+0Zx9/c6fYeCVy6ivcW1evVwO+BZZSL2i6YPUTScD0S2IpyiOx5wK8NQ5Im3IbttLXxtPayTre3bOZJnW5vOXB9O23tMOP4H1f3DTrd3q/aaes44FfAvcAPgC8NUrQ9RNJwJdXrOUUWn2EYktQAlwK3Tvt1VN3foJ22/g54FeV2R88EHg+8dJBr2kMkDddzq9dvBa1CkhbPTsD0Xp4H9A7V4FnAlZ1u7+sA7bT1XWA/oLPQCxqIpCGJknwT4GlV00AkqSmWdrq924Zx4XbaWtLp9lYAlwAPb6etvYDrgT2ATw5ybYfMpOF5DuUPHZcVWexTZZI0gHbaSoGfA3S6vQz4D+CrwI+B7wIfG+T69hBJw+NwmSStRqfbu4r7L03SP77XjHYX6E5rHw0cXVcd9hBJQxAl+RrA/lUzC1mLJGn1DETScDwR2BK4jXKxMEnSCDMQScPRHy47u8hit+mQpBFnIJKGo7/+kMNlkjQGDERSzaIkfwjlPjwFcEbgciRJc2AgkurXn0z90yKLrw9aiSRpTgxEUv3684ccLpOkMWEgkmoUJfm6lEvKg+sPSdLYMBBJ9doT2AD4A/CLwLVIkubIQCTVqz9cdnqRxUXQSiRJc2YgkmoSJXnE1OP2DpdJ0hgxEEn12Ql4KHA38J3AtUiS5sFAJNWnP1x2TpHFS4NWIkmaFwORVB+HyyRpTBmIpBpESb4p8NSqaSCSpDFjIJLq8RxgCXBpkcX/G7oYSdL8GIikeriZqySNMQORNKAoyZcA+1VNh8skaQwZiKTBPRHYArgVOC9wLZKkBTAQSYPrD5edVWTxPUErkSQtiIFIGlx//SGHyyRpTBmIpAFESf4QYBegAM4IW40kaaEMRNJg+r1DFxZZfEPQSiRJC2YgkgbjcJkkTQADkbRAUZKvCzyrarr+kCSNMQORtHB7AesD1wG/CluKJGkQBiJp4frDZacXWVwErUSSNBADkbQAUZJHuF2HJE0MA5G0MI8GdgCWAd8NW4okaVAGImlh+sNl3y+y+PaglUiSBmYgkhamP1zm4/aSNAEMRNI8RUm+GfCUqmkgkqQJYCCS5m8fYAlwSZHF/xe6GEnS4AxE0vy5OrUkTRgDkTQPUZIvAfarmgYiSZoQBiJpfv4e2By4Bfhx2FIkSXUxEEnz0x8uO6vI4nuCViJJqo2BSJqffiBydWpJmiAGImmOoiT/W+DxQAGcGbgcSVKNDETS3O1fvV5QZPGNQSuRJNXKQCTNnZu5StKEMhBJcxAl+XrAM6umj9tL0oQxEElzsxewHnAtkIctRZJUNwORNDf3beZaZHERtBJJUu0MRNJqREke4XYdkjTRDETS6j0G2B64C/hu4FokSUNgIJJWrz9c9v0ii+8IWokkaSgMRNLqOVwmSRPOQCStQpTkDwL2qJoGIkmaUAYiadX2AZYAvymy+KrAtUiShsRAJK2am7lKUgMYiKSViJJ8CbBf1XS4TJImmIFIWrndgQcBfwHOD1yLJGmIDETSyvWHy84ssnh50EokSUNlIJJW7r7tOoJWIUkaOgORNIsoybcDHgfcC5wZuBxJ0pAZiKTZ7V+9nl9k8U1BK5EkDZ2BSJqdw2WS1CAGImmGKMnXB55ZNV1/SJIawEAkPdAzgHWB3wMXB65FkrQIDETSA923mWuRxUXQSiRJi8JAJE0TJXmE23VIUuMYiKT7eyywHXAX8P3AtUiSFomBSLq/fu/Q94osviNoJZKkRbNmHRdpp623A/8EbEC5iN0hwObAl4DdgMuAQzvdXt5OW08FTgOWAgd0ur3L6qhBqonDZZLUQAMHonbaejbw75QL2f0R+A7wJmAX4HZgZ+B9wInAE4G3A0cC2wOva6etI4FPAId3uj0nsCqYKMk3B/aomq4/JEkNUseQ2d3AkZ1u7zudbu83lL1BWwN7Aqd0ur1rKMPQbu20tX71Pa8F/gAsAY4FzjMMaQTsQ/n5/HWRxdeELkaStHgG7iHqdHvnAucCtNPW44HdKXuA3kg5LAZwS/W6BfBJ4BuUQerDwJM63d6bZ163nbbWAdYBNhy0RmmOXJ1akhqqtknV7bS1LfBN4COdbu/ClZxWdLq9MynnFz0GeDFwZjttXdVOW1kVgvqOAm4FLq2rRmlloiRfE9i3ahqIJKlhaglE7bS1BfBt4HvAu6rDNwKbVr/fuHq9AaDT7a0APl2d+0bgtdXX+xtqAhwDbALsVEeN0mrsDmwG3AxcELgWSdIiGzgQtdPWhsDpwDXAW4FN2mlrY8phtIPaaWs7yqfOLuh0e3dV79kT+HPVW7SEckjtjur3AHS6vWWdbu82pobdpGHqD5edWWTx8qCVSJIWXR2P3b+Q8ukxKHuFAK4Gng58EbiEctjrlf03dLq9c9tp6wdV81jgjOq8M2uoR1oIH7eXpEXWTltbAS8DDgYO7HR7F7fTVn8KwyuByzrd3jtX8t71gPdTTr/5n0639/pBaqljUvWXKNcbms3eq3hfUb2eApwyaB3SQkVJvj3lCtX3AmcFLkeSGqGdtjai7ED5JeVSPX1fBnalnG5z1SoucRqwI+Uo1MrmLs9ZLQszSmOu3zv04yKLbw5aiSQ1x52UaxKuD/zftONv7nR7f2ynrXNW9sZ22noC5VSHXTrd3q/qKMZAJDlcJkl12rCaS9y3rNPtLZt5UqfbWw5c305bO8w4/sc5fI89KJ9Ef087bT0ROA84otPt3brQot3LTI0WJfn6TA3t+ri9JA3uUsqw0v911BC+x2bAWsBXgRR4MvCOQS5oD5Gabm9gXcqnJH8TuBZJmgQ7UW7l1feA3qEaXA9c1en2vgrQTlvfAuJBLmggUtPdN1xWZLHbx0jS4JZWy+bUrp22llRrGZ4NfKydtp4P/BZ4NnDqINd2yEyNFSV5hNt1SNJYaKetFPg5QKfbuxI4kHILsAspF9Q9dpDr20OkJnscsC3lkw7fD1yLJDVSp9u7CohmOb7XjHYX6K6sPSh7iNRk/eGy7xZZfGfQSiRJQRmI1GQOl0mSAAORGipK8s0pN3QFA5EkNZ6BSE21L+XnPy+y+Pehi5EkhWUgUlM5XCZJuo+BSI0TJXl/J2Vwuw5JEgYiNdMewKbATdSwQ7IkafwZiNRE/cftzyiyeEXQSiRJI8FApCbqByLnD0mSAAORGiZK8h2AnYEVwFlhq5EkjQoDkZqm3zt0XpHFfwlaiSRpZBiI1DQOl0mSHsBApMaIknwDYO+qaSCSJN3HQKQm2RtYB7gKuCRsKZKkUWIgUpPctzp1kcVF0EokSSPFQKRGiJI8Avavmq5OLUm6HwORmiIGtgXuAM4JW4okadQYiNQU/eGy7xZZfFfQSiRJI8dApKboP27vcJkk6QEMRJp4UZJvAexeNU8PWYskaTQZiNQE+wER8Msii68NXYwkafQYiNQErk4tSVolA5EmWpTkawH7Vk0DkSRpVgYiTbo9gE2AG4GfBK5FkjSiDESadP3hsjOKLF4RtBJJ0sgyEGnS3bddR9AqJEkjzUCkiRUl+UOBRwMrgLMClyNJGmEGIk2y/nDZj4osviVkIZKk0WYg0iTrD5e5OrUkaZUMRJpIUZJvAOxVNZ0/JElaJQORJtUzgXWA/wMuDVyLJGnEGYg0qe4bLiuyuAhaiSRp5BmINHGiJI9wuw5J0jwYiDSJdgH+BrgDODdsKZKkcWAg0iTq9w59u8jiu4JWIkkaCwYiTSKHyyRJ82Ig0kSJknxL4O+r5ukha5EkjQ8DkSbNfkAE/KLI4utCFyNJGg8GIk0ah8skSfNmINLEiJJ8LWDfqul2HZKkOTMQaZI8BdgYuAH4aeBaJEljxECkSdJfnfr0IovvDVqJJGmsGIg0SZw/JElaEAORJkKU5A8HdgKWA2cHLkeSNGYMRJoU/d6hHxZZfGvQSiRJY8dApEnhcJkkacEMRBp7UZJvCOxVNQ1EkqR5MxBpEjwLWBv4X+CywLVIksaQgUiT4L7hsiKLi6CVSJLGkoFIYy1K8oipQOTq1JKkBTEQadztCmwD3A78IHAtkqQxZSDSuOv3Dn27yOJlQSuRJI0tA5HGXX+7DofLJEkLZiDS2IqSfCvgiVXz9JC1SJLGm4FI42w/IAIuKrL4j6GLkSSNLwORxpnDZZKkWhiINJaiJF8LeE7VdHVqSdJADEQaV08FNgauB34WuBZJ0pgzEGlc9YfLTi+y+N6glUiSxp6BSOPK3e0lSbUxEGnsREn+COBRwHLg7MDlSJImgIFI46jfO/SDIotvC1qJJGkiGIg0jtzMVZJUKwORxkqU5I8CnlE1nT8kSaqFgUhjI0ryw4DfAmtWh54WsBxJ0gQxEGksREm+LfAZyq06+k6ojkuSNBADkcbFjjzw87oEeESAWiRJE8ZApHFxOTBzAcYVwBUBapEkTRgDkcZCkcXXAodThiCq1yOq45IkDcRApLFRZPGJwA6UT5ntULUlSRrYmqs/RRodVY+QvUKSNAHaaWsr4GXAwcCBnW7v4nbaWhPYF3glcFmn23vnKt6/BnAesE2n29thkFoMRJIkadG109ZGwNXAL4Fdpn3py8CuwMbAVau5zBuBJ1LDD8oOmUmSpBDuBLYH2jOOv7nT7T0SuHRVb26nre2Ao4ET6ijGHiJJklSnDdtpa+Np7WWdbm/ZzJM63d5y4Pp22tphxvE/zvH7HA98HLiZqS2dFsxAJGnyvONhRS3XOfbKaPUnSZphZs/O+4D31vkN2mnr5ZS9Sy3KJ5AHZiCSNDKiD95cS5CpJw1JWqCdgOm9PA/oHarB0ZRPHV8PrA2s205beafbixd6QQORJEmq09JOt3fbMC7cTltLOt3eCuBZTGWYgyh7ifYf5NoGIkkrV9fQEzj8JGkg7bSVAu8Edul0e9dOO34zsHz6sYUwEEkTyKEnSeOi0+1dxf037u4f32tGuwt0ZznvOOC4QeswEEnSqHAyuBSM6xBJkqTGs4dIkgZQ1/AkOEQphWQPkSRJajx7iKTVqG2C8pEPcl6HJI2ooQaidtp6CXAMsBnwDeC1wL9Vr98EXt7p9uwlliRJQQ1tyKydtjYHvkAZgJ4C7Au8jXITt78HHgns0k5bT2+nrVqW3ZYkSVqIYc4hehLlugJf7HR7lwCnA3tR7m57FXAb8CDgw0BviHVIkiSt0jCHzLYEbp82JHYL8DDgXOBW4HvAq4D3d7q962e+uZ221gHWATasDm3dTlu1F7lu/OFarnPT8npu5RvS1kNqudAI6sUfHmgV0b5W/rZt67jOXNX2GXnb7rUMD7/h6ses9r9/1D7XMLfP9qjVvZg1w3j+PXLc9pfU8v/1XD7XGnlbhy5gEFFRDGcKTzttHQT8Z6fb26JqfxjYtdPtPbOdttYCXgg8E1gCPBv4QKfb+/S0978XeM9QipMkScPyhE63d1HoIuZrmD1ENwIbtdPWGp1u715gY8pdaQEeDLwV+CfgPynnFXWBT097/zHV1wAeDQz6U8iGwKWUu/AuHfBaWjXv9eLwPi8O7/Pi8V4vjmHe562BX9R8zUUxzED0E2AFcEQ7bX0f2A94f/W1dwNvBJYDdwM3MWMfk063twxYVjUvHLSYdtrauPrtH4e1C69K3uvF4X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);} 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);} 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);} 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);} 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5X0CT9LDOBE0AQRmuANXGO1ZIrIt3Fju9J0s21lJkJOZMqT7EwTmPdXJuATaWx0akWlaNr2GBJAZP0vUwFTiLSOU4uP8RMANNMN1erlics0FyWp3z975oxXCS7FDiJyJxsN9dCknVzLWpRcbaTbGDztm7q5hKR3pKpwMn33LMwUw7sBdwOvDEIo/Fax2qtOilLsgZdt6g4jX0pzXdztfo09vLWSAC0qTQ2ur1F5RARaVhmAie75MpqzJIrtwBrgfOB93WyXNJ/0lh6wp7GnrSbqxWnsReZCWYayfKU/955GruISC/KTOCEWQqggBm8+GdgK2biNpGWcXL5M4FrMEHKzqUnnFx+Acm6uVp5GvtGmu/m2qJuLhHJsswETnY6gouBbwFTwO8xUxMAWnJFkrOZpnLQhL38vJPLX4V5b7VC+TT2cZob2NxVp7GLiPSazAROvuc+HjO+6a2YyTAD4F2YGcOhaskVN3++piOQRh1G7e6wVgVNYE6nX4TJoC7AdMHti1loNdbm5PKxjy2Nje5oYdlFRHpeZgIn4AXAYBBGVwP4nnsDZvbwcuCkJVckqfswY4Aqg6ciZsLVKWZWt290q/w/LWdGl6ZXjRlOLl8gXpC1PeZxcz5Oq2a0FhFJQ5YCp98CC33PPRn4GfAyTOYJ0JIrktxulp64Nsnj2oHhzQZd1duCmMeVDWK6r9vWhe3k8pO0JgiLG9jtUPeliMSVmcApCKO877mrgCswv9ZvR2fUSYulsfSEPQvt73ZLnZ2zaZjWBWtdnVXDDOJvdaCmrJpIn8pM4ARgu+mu7nQ5pL/1+tITNvuy3W4b2/GcVVm1uFmxpFvZAGYNu5EUqzjLbrJqreryVFZNJCWZCpxEpDv1aFat0QCvcgLRXs2qxQ7slFWTfqXASUQyp4NZtXZl07ohqzZF+7o/lVWTtulo4OR77quBBUEYXd/G5/wo8MkgjB7c3XFackWku/T60jc2q7bFbqmryqq1K2CrzKoN2W3P9Go5S2VWLa0uT2XVpHOBk++5zwU+ARxr/34lZkLKJwP3AhcFYXSzvc0FhoIwut733DcBlwdhtE+TT30XcJPvuc8OwmgqUSVERLpUVVatLZxcfpD2dX2Wt3JA3UtZtWYDuyll1TqvkxmnTwIfCcLoQd9zjwS+iZmA8qvAq4Bv+J57dBBG9wAu5nToRJkp33OdIIy+7nvu2zETYX48yeOJiMiM0thogfZn1YZob/dnJ7NqpTaeAbodk1UrpF2pNNb3TFNHAiffc58CHA28wu46G7g3CKNL7N+fsfMtnW2XQjnd3m8M+E9gvu+5a4ATgLuBE4Mw2uh77knA5cA+QASsAHzMFATrgD8Br8HMGn42CpxERHqWzb5M2m28Hc9ps2rtHqtWzqo5mJUDFqVbyxlOLr+DdAO0HGaS4Fnre7apek3pVMbpecCfgjAat38fDtxTdcyvMN12J2GWlRgBTgU8zBvpS5jG/h5wsu+5NwFfA06z9w2AczH/TEuADwB32Mf+OfBJ33NHgjDaClqrTkRE5mYzMFvtlroEWbUkwd1QRRHm221JerXcaQBY7eTya7s589SpwOlxQOXIa4eZiHqWIIwmfM+dwoxx2up7LsDmIIy+DeB77jr7eMdhAp//sHddhMlq3QZsCsLopoqH/at9vmXMvPkvpmKtug2bTmDvedMJqigiLXURGtshmVN6avufs1AaYHtpPhPFISaKw0yUhsz1nZfDVX8PNXXs5uJCNhd3GZI2iJlAWIFTlSlmpxrvBV5adcxTMd1wcTiYNcG2A8+018EERa+qcfywvZyo2HcJWqtOREQybtApMuJMMjIwSZpTq23YsTcH3fs5irPXRi8A96f2pC1QayX3dvg98Djfc8tZpmuAJ/me+17fc5/ge+45wPOBz9vbJ4EDfM/dfzeP+UNMpPpGoAScAxxZ59gDMXO3PFbeEYTRZBBGm2nToEYREZEsWz7/Ma458GowwVL5cmU3d9NB5wKnH2IyTkcC2DPn/gk4Gfgd5oy3k4Iw+qU9fg1mHNRn6j1gEEbrMAPBX4/JGB2FGetUywuB7wZhpNS/iIhIh5y57FaAg4GXAAd3+8BwAKdU6kzs4Hvu54DJIIxWtfl5hzEZr5ODMPpRjdsfD2y48qBfa4yTiIhI2i5dl9rktuXvdGB5EEZ/bsVjdnIepwuB//Y997ggjG5t4/N+GlhTK2iqtOqBI1rWyCIiItIfOhY4BWH0N99zXwTs2+an/jLwPzGO29+ewSciIiK9aXdjo5vSsa66buV77jMx8zyJiIhIfzg6CKNftOKBOrrIb5e6CzP/08MJH2cxZpD64fT3mXpZqGcW6gjZqGcW6giqZz/JQh0h3Xruj/lubwllnFLie+4SYBOwp53moC9loZ5ZqCNko55ZqCOonv0kC3WE3qpnp6YjyIJJ4EP2sp9loZ5ZqCNko55ZqCOonv0kC3WEHqqnMk4iIiIiMSnjJCIiIhKTBoc3yffc/YBTgdOBNwRhdI/vufOAVwJvAu4Nwui9de67EPgwZqb0bwZh9Nb2lLoxzdbR99zvAy+q2n1bEEbHpVvi5iR8Ld8PrMKsRH4jsCIIo6m2FLxBCV7PAeAK4M2YpYouDsIoaFvBG1Cnjs8CPotZqeB3wFuCMLqjxn3fBZyPWQn+OuDCbl1dIGE9DwLeYO/7jCCMunLAcbN1tO/XjwFnYNYxXQOsCsKoQBdKUM8R4FPAKZh1V78MnNeP71l7/wHgDuCAIIwObk+pa1PGqQm+5+4BPIB5wx5VcdNXMQsFH8vMQsK1XI9ZfPgM4KJ0SplMwjrmgL3stgyzYOMNaZU1iST19D33KOBfMAHFCzDLBr0xvdI2L+HreTomsHop8C7gOt9zD06pqE2rVUf7YXsD8GPMiut3A1+ocd8jgcsx/5MnYoLhE9pR7kYlrOcRwG8w79VD21PixiWpI3Am5nV8BeZz9nT7OF0nYT3Pw/xAfQHmvXou5r3bdRLWs+xtwLNTLWhMCpyaMwEchFkbr9I7gzB6EuaUypp8zz0aE1icEoTRrUEYpbf0dDJN1zEIoy1BGI0HYTSO+afeB/hiWgVNqOl6YhaTBvOB8CfMoMZuXacnST2fA9wRhNHPgzC6EVgHvDydYiZSq46LgK8BH7UrAdxO7QnxXgjcF4TRLUEY3Qn8yO7rRknq+QBwAHBB2oVMKEkd/4rJvPxvEEY/Bh6pc1w3aLqeQRj9SxBGhwZhdDfwF6AI7Ei/yE1J8nrie+4TgPcDq1MuZyzqqmtCEEbTwCPVv7qDMHooxt2fjznl8oO+5z4bk3pcGYTRppYXNIGEdax0AfC5IIy2tqpsrZSknkEY3e177pWYX0pFzOLVXRkgJnw9/wC82vfcfYGlmEB4v1aXMaladbTdUBcB2G7Js4Cv1Lj7vsyeO2ac9q9qEEuSepb/D7t9VYSEdYzK133PPR7zZfxf6Za4OQnfs9hjxoElwBeCMLopzfI2qwX1/CymW/JvmCxiRynj1H57YcZQrAE84Hl0aXddUr7nHoPJOF3Z6bKkwc4yfxbmdfxH4OnA6ztaqHR8FpNRewj4FjBkr/ea1cDewMUxj+/KsSIxNFrPXjRnHX3PHQUC4B1BGP2xXQVrsTiv5VHAa4FTfc99aTsKlYK69fQ99zRMturSdheqHmWc2u8RYH0QRmsAfM/9NjDa2SKl5gLgxh7+0JrLccC6IIxuAPA99zbgeMyHdd+w2dDn+J67NyaYeBj4ZWdL1Rjfcz8GvAw4ts7keo9ismllS4D72lC0lopRz54Xp46+5z4RWAt8Mgija9pZvlaZq56+5z4PcOyC9et9z/0lZszT7e0taTIxXs/3AwdjvjuHgAW+5+aDMOrY96YyTm3ie+6gvXoL8ETfc0/yPfdwzBumJevndFpFHcsfXK8BPtGxAqWkop6/xryWL7aDbp9v9/WFqtdzIfAEzJiE7wdh9NOOFaxBvudeBKzAZAY3+5671HYNVNbxh8Ahvufm7Jk+zwe+34nyNitmPXtanDr6nnsA8F3gJuDj9pjFnSpzM2K+lscBa3zPPdL33OcCT6GFy4q0QwP1PByTWbsUeJAOn7ihwKkNfM/1sAsHB2G0DnMq8OXAncBP6KIUZLMq62i9G/hFvVNLe1XVazkGXIbpdv0RcBt9EijWeT1vwXTR9Vp35CXAnpj/tY12O7bqtbwHU8drMF+4VwZhtLYzxW3anPXsA3HquAL4B8yZdeVjxtpf1ETi1PNy4FbMONkIuKJyfFePiPO/uSEIo/VBGK3HjHGaDsJoQ4fKC2jmcBEREZHYlHESERERiUmBk4iIiEhMCpxEREREYlLgJCIiIhKTAicRERGRmBQ4iYiIiMSkwElEREQkJgVOIiIiIjEpcBIRERGJSYGTiIiISEwKnERERERiUuAkIiIiEpMCJxEREZGYFDiJiIiIxKTASURERCQmBU4iIiIiMf0/twnyzzqiio8AAAAASUVORK5CYII=);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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JKegz50sd7o0p6fpbEv5m06tRvDib/GXZtlsS/D12MnmXJCCFmVOq16onAEcAbgMX1WnVu8Zwr6rXq1EaztZJ8H+KX67Xqm4E/kP//8v3xFO2SmaQJF1XSOcBLi+GwgQggS+KLyf9Tm0Lem8hf2rSWop/V6t5DIWvRhDgZ2Iz8YovHij8L6rVqDfgNQKPZ+hPwDvKl9l8X9/3ceD6p/9lImgyvIT+z7NYsie9Yz30/APwN8FfAscCXJ7Qy9aO9gT2ApYxzVkDhNZqtO8gbtLbH0cj3ptlxv2bneLycIZI0Gda5XNYpS+IHgBOK4WeiSrrdhFWlftWeHbowS+JFIQvR4DAQSZoMow5EhX8HfgXMAr42IRWpL0WVdCZ5Z2NwuUxdZCCSNKGiSroD8EJgJfDz0TwmS+JVwJHkxzH8fVRJqxNWoPpNFZgL3E3etE/qCgORpInWnh36dZbEo26aliXxjcApxfC0YmO21F4uO2eE9g3SmBiIJE20dv+h0S6XdfoM8CfgeeR9ilRixX6ydsA+O2ApGkAGIkkTJqqkU4EDiuHP1nXf4WRJ/DRwdDE8Lqqk+3arNvWlQ8ivRroyS+LbQxejwWIgkjSR9gKeAywGrh3LE2RJ/DPywx4j4Ex7E5VT0XvosGL4nYClaEAZiCRNpPZy2c+zJF4xjuf5AHlztr2A9467KvWjBcAuwBLgh4Fr0QAyEEmaSO39Hhu8XNYpS+KFwEeK4aeLK9dULu3N1BdkSfxk0Eo0kAxEkiZEVElnAa8ohmPZUD3Ud4BfApuQX3W2rm62GiBRJZ0NHFQM7T2kCWEgkjRR9gOmA3cAt433yTp6Ey0HKsD/G+9zqm+8hbxJ563AVYFr0YAyEEmaKKu7U2dJnHXjCbMkvgn4fDH8WlRJN+vG86rnvat4e3a3/i1JQxmIJE2UDT2uY7T+lXzGaWvyPkUaYFEl3QV4JbAKODdwORpgBiJJXRdV0ucBuwMZcFk3n7voTXRUMXxPVElf0s3nV885rHh7SZbE94QsRIPNQCRpIry2ePt/WRI/2u0nz5L4MuA88t5E34wq6fRufw6FVzT2PLQYuplaE8pAJGkiTNRyWacPAY8CLwbeN4GfR+EcAGwLLAJ+HLYUDToDkaSuiirpFLrUf2hdsiR+CPhwMfxkVEl3nKjPpWDavYe+myXx0qCVaOAZiCR1218C84Engasn+HOdBVxJ3pvo6/YmGhxRJZ0HvLkYulymCWcgktRt7dmhK7IkfmYiP1FxCXa7N9GB5P1qNBjeBswAbgCuC1yLSsBAJKnb2ueXTdhyWacsiW8GTi6GX7U30cBoL5edZe8hTQYDkaSuiSrpxuQ9Y2BiN1QPdTJ5F+PnkvcpUh+LKukewL7ACuD8wOWoJAxEkrppATATuA/4w2R90mLDbbs30dFRJX3pZH1uTYj27FBSbJ6XJpyBSFI3rb66bLKXObIkvhw4B3sT9bXidTu4GLqZWpPGQCSpmyaj/9C6HA88Qn6l2wcC1aDxOZD8KsWFwEWBa1GJGIgkdUVUSbcC9iyGl4aoIUvih8lDEcC/RJX0+SHq0Li0l8vOy5J4edBKVCoGIkndckDx9ndZEi8MWMc5wC+AjYFv2Juof0SVdD7wxmLocpkmlYFIUreEXi4DVvcmOgp4Bvgb4KCQ9WiDHAxMA67Nkvj3oYtRuRiIJI1bMQszqf2H1iVL4ltYc/n9V6JKOjdgORqF4t/Q6t5DIWtRORmIJHXDi4BtgKXALwPX0vY54BZgK9Y0blTv2hvYg/zf0PcD16ISMhBJ6ob2ctn/9MohnFkSLyM/1gPgqKiSvjxkPVqv9uzQhVkSLwpZiMrJQCSpG3pmuaxTlsRXsGb55Ux7E/WmqJLOBN5eDF0uUxAGIknjElXSjYD9imHQDdUj+DDwMPlyzIcC16LhVYG5wN3A5UErUWkZiCSN18uAWeSN9G4IXMtasiR+hDVB6BNRJd0pZD0aVnu57JwsiVcGrUSlZSCSNF7t5bJLsiReFbSSkZ1HPvMwEzjd3kS9I6qk27FmD9rZAUtRyRmIJI1XT/QfWpeiN9HRwDLyAPe2sBWpwyHk589dmSXx7aGLUXkZiCSNWVRJnwPsUwyDHNcxWlkS/xH4bDH8clRJ54WsR6t7Dx1WDL8TsBTJQCRpXA4g/+3+91kS3xu6mFE4BbiZ/PDQzwWuRbAA2AVYAvwwcC0qOQORpPHo+eWyTkN6Ex0RVdIFIevR6s3UF2RJ/GTQSlR6BiJJYzLkuI6+CEQAWRJfCXy7GJ5ZtA3QJIsq6WzWnDNn7yEFZyCSNFa7ADsAy4ErAteyoT4CPATsBhwfuJayegt5u4ZbgasC1yIZiCSNWXu57Kp+W+7IkvhR4IPF8ONRJd0lZD0l9a7i7dnFVYBSUNO68ST1WnUqcBL5evAfGs1WpV6rbg+cQ34Fyi3AuxrNVlqvVRcAF5BvontTo9m6pRs1SJp0fbdcNsR3gUOB15L3Jnq9P5gnRxFAXwmsAs4NXI4EdG+G6MvAe8inng8pbjsVeBLYnbx7bXvN/sPACeTfBMfUa9WZ9Vr1W/Va1UZpUp+IKuk04DXFsKfOLxutIb2JXsuas7Q08Q4r3l6SJfE9IQuR2sYdiOq16lbAUcBRjWbrwkaz9Wjxof2A8xvN1l3kYWifeq26SfE57wHuA6aSX/p6VaPZ8jczqX+8BJgDPAr8NnAtY5Yl8W3Ap4vhl4q+SppAUSWdSj4zB26mVg/pxpLZS8iDzUH1WvU04Ebg3cCW5MtiAIuKt1sAXwcuBJ4hn0V6SaPZev/QJ63XqjOAGcDsLtQoqbvay2WXDsDZU18gnx3ajbxP0eFhyxl4BwDbkv9c+HHYUqQ1urFkNg/IyK8S+DtgK/L/YIaTNZqti4HNyf/zOQi4uF6r3lGvVZMiBLWdBDxO3kRNUm/pq/5D65Il8TOs6U30T1ElfVXIekqg3Xvou1kSLw1aidShG4FoIfB0o9n6RqPZ+i3wfSAGHgbmFveZU7x9CKDRbK0ETgc+BhxHvo4PcGDH854MbAbs2oUaJXVJVEk3A/66GPZ9IALIkviXwLeK4ZlRJZ2xrvtrbIrjUt5cDF0uU0/pRiC6GlhWr1WPrdeqOwJV4DryviSHFFebvRO4ptFsLQWo16r7AQ8Ws0VTyadOnyreB6DRbC1rNFuLWbPsJqk3vIb8e/WPWRLfGbqYLjqB/Be8Xckv/lD3vY18K8QN5D8npJ4x7kDUaLYeB/6BfGP1DcAjwIeKP9OAm4C9yPcVtR9zBfnMEOSbqi8iX1O+eLz1SJpwA7Nc1ilL4seA9xfDj0WV9IUByxlU7eWys2xxoF7TlT5EjWbrF8Aew3xo/3U8Jiveng+c3406JE2KgQxEhe+TXxL+evLeRK/1B3d3RJV0D2BfYAX+n68eZKdqSaMWVdIdgRcAK4Gfh62m+4rwcwywlPwXuoPDVjRQ2rNDSZbEDwWtRBqGgUjShmjPDl2TJfHioJVMkCyJbwc+VQz/Laqkm4esZxBElXQ6a8Klm6nVkwxEkjbEIC+XdTqVvKfaFozcRkSjdyAwn3zT+kWBa5GGZSCSNCpFh+HXFsO+PK5jtLIkXs6a3kTvjCrpqwOWMwjay2XnFX+3Us8xEEkarb8ib8T6OPC/gWuZcFkS/wo4sxieYW+isYkq6XzgjcXQ5TL1LAORpNFqL5f9PEviFUErmTwnAQ8Cf0Hep0gb7mDyK5qvzZL496GLkUZiIJI0Wu3zywZ6uaxT0ZvofcXwo1El/YuQ9fSbqJJGdPQeClmLtD4GIknrFVXS2cDLi+Ggb6ge6gLyprEbkS+dRYHr6Sd7k/eoW0re40nqWQYiSaOxHzAduAO4PWwpk6ujN9HTwKuBQ4IW1F/as0MXZkm8KGQh0voYiCSNRnv/0M/K2Lk5S+I/A58shl+MKukWIevpB1ElnQm8vRi6XKaeZyCSNBpl6T+0Lv9Gfl7j5uR9irRuVWAucDdwedBKpFEwEElap6iSbgvsBqyixD/YOnoTZcChUSV9TeCSel17ueycLIlXBq1EGgUDkaT1aTdj/L8siR8NWklgWRJfDZxRDM8oloU0RFRJt2PNrOLZAUuRRs1AJGl9XC57tpOAB4AXFu9rbYcAEXBlcTac1PMMRJJGFFXSKXRsqA5ZS6/Ikvhx4L3F8KSoku4asp5eU7QlOKwYfidgKdIGMRBJWpcY2BJ4ErgmcC295IfAf5G3IjjT3kTPsgDYBVhC/vck9QUDkaR1ac8O/SJL4meCVtJDitYD7wGeAl7FmhkRrdlMfUGWxE8GrUTaAAYiSetSuuM6RitL4juATxTDU6NKumXAcnpC0dH8oGJo7yH1FQORpGFFlXRj4JXF0A3Vw/sKcD3wHOCLgWvpBW8BZgG3AlcFrkXaIAYiSSNZAMwA7gVuDlxLTxrSm+gdUSU9IHBJob2reHt2GTuaq78ZiCSNZPVymT/cRpYl8a+BbxTD0vYmiirpLuQziquAcwOXI20wA5Gkkdh/aPQ+CtxHfnXVRwPXEsphxdtLsiS+J2Qh0lgYiCStJaqkWwEvLoaXhaylHwzpTXRCVEl3C1nPZIsq6VTg0GLoZmr1JQORpOG0j+v4bZbEC4NW0j9+BCSs6U1Upv9fDwC2BRYBPw5bijQ2ZfqGlTR6LpdtoGKf1bHkvYkWsKYfTxm0v9bvZkm8NGgl0hgZiCQ9S9F1ub2h2kC0AbIkvhP4eDH8QlRJ54esZzJElXQe8OZi6HKZ+paBSNJQuwFbA0uBXwaupR99FfgdMA/4t7ClTIq3kbdnuAG4LnAt0pgZiCQN1V4uu9Lljw2XJfEK4Ajy3kT/GFXS163nIf2uvVx2lu0Z1M8MRJKG8riOccqS+H+B04rh6UXX74ETVdI9gH2BFcD5gcuRxsVAJGm1qJLOAPYrhu4fGp+PkXf53rl4fxC1Z4eSLIkfClqJNE7TQhcgqae8DNgEeJB8T4jGKEvixVElPY78cvyPRJX0e1kS/z50Xd0SVdLpwMHF0M3UGpN6rTofeDt5H6t3NJqtG+u16j7AGcDuwB+BYxrN1rBn49Vr1Snk5+Zt3Wi2dhxPLc4QSeq0+uoy94N0RQv4Cfkvn4PWm+hAYD6wELgocC3qQ/VadVPgTuCtwJ7FbVPIf4m4mrzz+/WsO3AfR75sO26D9M0pafzsP9RFHb2JngReARwetqKuai+XnVcccittqKeBHYB6x22bAN8DPt9otu4FLge2Gu7B9Vp1e/I2F2d2oxiXzCQBEFXSzYG9i+GlIWsZJFkS3x1V0o8BXwI+H1XSn2RJ/EDousaj6K/0xmLocpmGml2vVed0jJc1mq1lQ+/UaLZWAAvrteqOHbctAU4EqNeq08h/iRhpw/4Z5G0uHmXNv8cxc4ZIUtsBQATcmCXxfaGLGTCnkffomctg9CY6mPwX6msHaV+UuuZm4PGOPyeN8XnOBDYf7vH1WvUfyWeXPjfG516LgUhSm8tlE6SjN9EqoB5V0jcELmnMik7mq3sPhaxFPWtXYLOOPydv6BPUa9VTyP9PekOj2Vo8zF0+Tn4F50LgFGD7eq2ajrliXDKTxOofcgaiCZQl8W+iSvpV4P3kvYn2yJL4qcBljcXewB7kncy/H7gW9aYlI4SYUanXqieS/wLxBmBxvVadWzzninqtOrXRbK0kP4C6nWEOKe5/4HiKNhBJAngB+fTzM8CVgWsZZP8MvAV4PvlvuGNdSgipPTt0YZbEi0IWooHVnlG6puO219Rr1S2BjwJ7Npqte9ofqNeqjwIrOm8bCwORJFgzO3RVlsRPBq1kgGVJ/ERUSY8lvxz/+KI3Ud/0e4oq6UzynjHgcpm6pNFs3UG+f7E9jka+N81hHn8aazrDj5l7iCSBy2WTJkviH5MHon7sTVQl3xh+N/nl0NLA6KdvREkToOg4vH8x9PyyyXEcsIS8M/gRgWvZEO3lsnOyJF4ZtBKpy0q/ZBZ9/tGe68bbcwVp0L0E2BR4BPht4FpKIUvie6JK+lHgK8Dnokr64yyJ7w9d17pElXQ71swknh2wFGlCOEMkqX1cx6VZEq8KWkm5fB34DfllyV8KXMtoHEK+z+PKLIlvD12M1G0GIknuHwqgWHJq9yZ6a1RJ/zZwSSMq2jIcVgy/E7AUacIYiKQSiyrpXPIlMzAQTbosia8DvlwMvxFV0lkBy1mXBeQHbS4Bfhi4FmlCGIikcnsNMBW4JUviu0IXU1KfIL9qa0fyPkW9qL2Z+gLbMmhQGYikcnO5LLAsiZcA7ymGH4oqaRyynqGiSjobOKgY2ntIA8tAJJWbgagHZEn8U+A/yGfrvtljvYneAswCbgWuClyLNGF66ZtO0iSKKunzyfeFrAB+EbYaAe8DngD+GjgqcC2d2stlZ2dJbFcQDSwDkVRe7dmha7IkHvNBjOqOLInvBf6/YnhyVEm3CVkPQFRJdwFeRX4l3LmBy5EmlIFIKi+Xy3rP6cC1wBzWXH0W0mHF20uyJB7XwZlSrzMQSSUUVdKpwAHF0OM6ekTRm+hIYCVQiyrpG0PVUvwbObQYuplaA89AJJXT3sA84HHg/wLXog5ZEv+ONZ2rQ/YmOgDYFlgE/DhQDdKkKf1ZZpp8PXl+3AnPiULXMMnay2WXZ0m8ImglGs6/kF/qvn3x/ocD1NDeTP3dLImXBvj80qRyhkgqp/b5ZS6X9aCi+eExxfADUSXdczI/f1RJ5wFvLoYul6kUDERSyRSN9l5WDN1Q3aOyJP5PoMma3kRTJ/HTvw2YAdwAXDeJn1cKxkAklc9+wHTgz55a3vPeDywG9gWOnsTP214uO8veQyoLA5FUPi6X9Yksie8DTiqG/xpV0udN9OeMKuke5AFsBXD+RH8+qVcYiKTysf9QfzkT+DWwKfCVSfh87dmhJEvihybh80k9wUAklUhUSbcFXkTeefjywOVoFIreREeQ9yb6h6iSvmmiPldUSacDBxdDN1OrVAxEUrm0Z4f+N0vix4JWolHLkjgFvlgMv15sjJ8IBwLzgYXARRP0OaSeZCCSysXlsv71KeAOYDvgkxP0OdrLZedlSbx8gj6H1JMMRFJJRJV0CmsCkRuq+8yQ3kTvjyrpXt18/qiSzgfaR4W4XKbSMRBJ5fFiYAtgCXBN4Fo0BlkSXwT8gPz/7m73JjqY/PSCa7Mk/n0Xn1fqCwYiqTzas0O/cDmkr32A/Ay6fYD3dOMJo0oa0dF7qBvPKfUbA5FUHvYfGgBZEt8PnFgMP1tcOTheewN7AEuB73fh+aS+YyCSSiCqpBsDC4qhG6r73zeBq4HZwFe78Hzt2aELsyRe1IXnk/qOgUgqh1eSn011D3BL4Fo0TlkSrwKOJO8m/eaokv79WJ8rqqQzgbcXQ5fLVFoGIqkcVi+XeTbVYMiS+Abg1GJ4WlRJNx3jU1WBucDd2KxTJWYgksrB/kOD6dPAn4FtyfsUjUV7ueycoiu2VEoGImnARZX0uUBcDC8LWYu6K0vip4Cji+F7o0q694Y8Pqqk27EmLJ/dxdKkvmMgkgbfa4u313lY5+DJkvi/gQZrehNN24CHHwJEwJVZEt8+EfVJ/cJAJA0+l8sG3weBRcBfAceO5gFF76HDiuF3JqQqqY8YiKQBVvzQMxANuCyJHwBOKIafKZbC1mcBsAt55/IfTlRtUr8wEEmDbXdga+Bp4KrAtWhi/Tv5azyL/KqzaD33b2+mvqA4J00qNQORNNjas0NXZkm8NGglmlBDehP9Hfnl9MOKKuls4KBiaO8hCQORNOg8rqNEikNZTymGX4sq6ZwR7voW8pmkW3HmUAIMRNLAiirpDGC/Yuj+ofL4DHA78DzyPkXDaS+XnW2jTilnIJIG18uBjYEHgBsD16JJkiXx06zpTXRcVEn37fx4VEl3AV4FrALOneTypJ5lIJIGV3u57BJnAcolS+JLgO+S9xga2pvosOLtJVkS3zPZtUm9ykAkDS4vty+3DwKPAXsC7wWIKulU4NDi426mljoYiKQBFFXSLcib9AFcGrIWhZEl8ULgw8Xw01El3QE4gPzcs0XAjwOVJvWkDWnxLql/HEC+XHJDlsT3hy5GwZxFPiP0SvI+Re1fgr9rGwbp2ZwhkgaTy2Vq9yY6ClhJfqbd/sWHHg1WlNSjDETSgPG4Dg2xmLX/r///okq6bYhipF5lIJIGzwuB7YFngCsD16LwXkC+fNppKvk5ZpIKBiJp8LRnh36ZJfFTQStRL7iVvOdQp5XAbQFqkXqWgUgaPC6XabWi19AR5CGI4u2R9iCSns1AJA2QqJJOB15TDD2/TABkSfxtYEfyfxs7FmNJHbzsXhosfw1sCjwM/C5sKeolxYyQs0LSCJwhkgZLe7nssuKSa0nSKBiIpMHSPr/M5TJJ2gAGImlARJV0LvCSYuiGaknaAAYiaXDsT/49fXOWxHeHLkaS+knXNlXXa9Um8JZGsxXVa9XtgXOAfYBbgHc1mq20XqsuAC4AlgBvajRbt3Tr80vycntJGquuzBDVa9W/A97ccdOpwJPA7sANQPsSzw8DJwDnAsfUa9WZ9Vr1W/VadWgXVUkbzkAkSWM07kBUr1XnAF8HvtZx837A+Y1m6y7yMLRPvVbdpPh89wD3kbeO/xxwVaPZysZbh1RmUSXdCdgZWAH8Imw1ktR/urFk9nny30gvA95f3LYl+bIYwKLi7RbkwelC8jOWTgVe0mi22o95lnqtOgOYAczuQo3SoGvPDl2dJfETQSuRpD40rhmiYk9QFTh+FHfPGs3WxcDmwG7AQcDF9Vr1jnqtmhQBqNNJwOPAzeOpUSoJl8skaRzGu2T2MfKA8yfg+wD1WnUReZfcucV95hRvHwJoNFsrgdOLxx4HHF18/MAhz30ysBmw6zhrlAZaVEmnAgcUQ/sPSdIYjDcQHQa8ENgTeG9x257AFcAhxdVm7wSuaTRbSwHqtep+wIPFbNFU8iW1p4r3V2s0W8sazdZi1iy9SRrePuS/gCwC/i9oJZLUp8YViBrN1gONZuuORrN1B7CwuO0O4EPk+5NuAvYC3t3xmCvIZ4Yg31R9EbAtcPF4apFKrL1cdnmWxCvXeU9J0rC61oeo0WwlQFS8fxd5k7iR7psVb88Hzu9WDVJJeVyHJI2TnaqlPhZV0k2BlxVDN1RL0hgZiKT+th/5TO+fsiT+U+hiJKlfGYik/uZymSR1gYFI6m/2H5KkLjAQSX0qqqTbkffpWgVcHrgcSeprBiKpf7Vnh67NknhRyEIkqd8ZiKT+5XKZJHWJgUjqQ1ElnQK8thi6oVqSxslAJPWnPYEtgCeAX4ctRZL6n4FI6k/t5bJfZEm8PGglkjQADERSf7L/kCR1kYFI6jNRJd0EWFAM3VAtSV1gIJL6zyuBjYC7gT8GrkWSBoKBSOo/q5fLsiTOglYiSQPCQCT1H/sPSVKXGYikPhJV0q2BvwQy4LLA5UjSwDAQSf2l3YzxuiyJHw5aiSQNkGmhC5C0QVwukzQw6rXqfODtwKHAOxrN1o31WnUf4Axgd/ILR45pNFtXDXncFOAU4J1ABPwAOLbRbK0cay3OEEl9IqqkEQYiSQOiXqtuCtwJvJW8+3476PwIuBrYBbgeOGuYh/8TeRh6A/BG8kD11vHUYyCS+scewHOBp4Gr1nNfSep1TwM7APWO2zYBvgd8vtFs3QtcDmw1zGMfAj7UaLb+r9FsXQ0sHOF+o+aSmdQ/2rNDV2RJvCxoJZI0stn1WnVOx3hZo9la6/+sRrO1AlhYr1V37LhtCXAiQL1WnQYcDpw/zGNb7ffrterfkoeh/xhP0c4QSf3D5TJJ/eBm4PGOPyeN8XnOBDZf1+PrtWoMNID3NZqtu8b4eQBniKS+EFXSmcB+xdDzyyT1sl2B+zvGGzyjXa9VTyH/JXBBo9laPMJ9dgb+G/hKo9n65lgK7WQg6jXLVvDzJXvwghn3s+30R0JXo97xcmBj8v9kfh+4FklalyUjhZjRqNeqJwJHkG+YXlyvVecWz7miXqtObTRbK+u16tbks+UXAV8q7rOiWHIbE5fMeskDT8K1D7D/HZ9hh1u+xbcffe36H6OyWL1c5nEdkgbcycBmwDXAY8WfBfVatQb8prjPEcDzya80a98nGc8ndYaoVyxbAbc+tnq4iikced/RvGHT3zpTJFhzfpn7hyQNlEazdQd5L6H2OBr53jSL+3wS+GQ363CGqFc8vWKtm1YylduWbR2gGPWSqJJuCexVDC8NWYskDSoDUa/YeO3JuimsYpcZ9w9zZ5XMAeS/PaVZEj8QuhhJGkQGol4xYxq8YN6zbtpx+oNsM+3RQAWph3i5vSRNMANRL3nuLHjJc7lgu1PYJHqaPy3fmu88dkDoqhSQx3VI0uQwEPWaGdOobfYrPrPV9wD4yIOH8tCKOet5kAbYXwDbkffx+J/AtUjSwDIQ9ajjNv9PXjzzzzy2clM+8sChoctROO3ZoV9mSfxU0EokaYAZiHrUtGgVZ2xzOhGrOHvRAVz55G6hS1IYLpdJ0iQwEPWwl27yR949L/85ePR9R/HMKttGlUlUSacDrymGHtchSRPIQNTjTt7qPLacuoiblm3Plx55U+hyNLleCswGHgKuD1yLJA00A1GPe860JZz63LMB+OTCt3HHM/PDFqTJ1F4uuyxL4lVBK5GkAWcg6gPvmPsL9tvkRp7OZnDc/e8m8ySrsmgf1+FymSRNMANRH4giOH2bM5geLSd5Yl9+/MRfhy5JEyyqpPOAfYuhG6olaYIZiPrEi2bew/Gb/xiA995/OEtWzgxckSbYa8i/P2/Okvie0MVI0qAzEPWRj82/gB2nP8jdy7fkUw+9NXQ5mlgul0nSJDIQ9ZFNpjzDadt8E4B/e/jvuGHpDoEr0gSy/5AkTSIDUZ9546a/4c1zrmYlUzn6viNZlUWhS1KXRZV0Z2AnYDnwi7DVSFI5GIj60Fee+21mTXmaq57ajbM8/HUQtWeHrs6SeEnQSiSpJAxEfWi7jR7mk/O/D8BHHjyEh1dsGrgidZnLZZI0yQxEfeq9myfEM//MoyvnePjrAIkq6TSgPe3nhmpJmiQGoj41PVrJ6ducAcBZi17LL598UeCK1CX7AJsBjwG/CVyLJJWGgaiPvXyTWzh8Xj6JcNR9R7E8mxq4InVBe7ns8iyJVwatRJJKxEDU5z631XlsMfVxfr9sB7708N+FLkfjZ/8hSQrAQNTnNp/2BF947jkAfHLhW7nzmS0DV6SxiirppuQn3IMbqiVpUhmIBsChcy/nVZvcyFPZTN57/+Ghy9HYvRqYBtyeJfGfA9ciSaViIBoAUQTf2OZMprGCnzzx1/xk8b7rf5B6kctlkhSIgWhA7D7zbj60RX7463H3v5snV80IXJHGwP5DkhSIgWiAfHz+BewwfSF3LZ/PpxZ6+Gs/iSrp9sBfAKuAnwcuR5JKx0A0QGZNWcbXtv4WkB/+euPS7QNXpA3Qnh36dZbEi0IWIkllZCAaMG+a879UN72GFUzj6PuO8vDX/uFymSQFZCAaQF/Z+t/ZJFrKL5/ajXMWvSZ0OVqPqJJOAV5bDN1QLUkBGIgG0PYbPcwnt2oA8OEHDuMRD3/tdXsBmwNPANcGrkWSSslANKDet3nCHjPu5JGVczjhwUNCl6N1ay+X/TxL4uVBK5GkkjIQDajp0UrO2OZ0AL792Ou46sldA1ekdWgHIpfLJCkQA9EAe8Wsm/mnefke3aPuO9rDX3tQVEk3ARYUQzdUS1IgBqIB9/mtzmXzqYu5cdkOfOWRSuhytLZXARsBdwG3Bq5FkkrLQDTg8sNfzwbgXxa+jbue2SJsQRpq9XEdWRJnQSuRpBIzEJXAoXN/zoJNbuLJVRvzPg9/7TX2H5KkHmAgKoEpUcbp25zBNFbQeuKl/NTDX3tCVEm3BvYAMuCywOVIUqkZiEpij5l38cEtfgJ4+GsPac8O/SZL4keCViJJJWcgKpF/nv8Dtp++kDuXz+czC2uhy5HLZZLUMwxEJdJ5+OupD1f5/dLtAldUXlEljTAQSVLPMBCVzN/N+V/+btNfs4JpHHPfkWRe1xTKXwJbAU8BvwpciySVnoGohL5aHP565VN7cK6Hv4bSnh26IkviZUErkSQZiMpoh40e4hPzfwDA8R7+GorLZZLUQwxEJfWBLX7C7jPu5OGVm3HSg+8IXU6pRJV0JrBfMfT8MknqAQaikpoereT0bc4E4FuPvZ5fPfUXgSsqlVcAM4H7gJsC1yJJwkBUaq+cdRPvnHspAEffdxQrMv85TJLVy2Ue1yFJvcGfgCV3ynPP4TlTF5MufT5f9fDXydI+v8z9Q5LUIwxEJbfFtCc4ZatzAfjnhXXu9vDXCRVV0i2BvYrhpSFrkSStYSAS75x3GS/f5A88uWpj3v/AP4UuZ9AdULy9PkviB4NWIklazUAkpkQZZ2xzBlNZyY8Wv4z/fGLv0CUNMpfLJKkHGYgEwF/OvJMPFIe/HnvfETy1aqPAFQ0ej+uQpN5lINJqn9jyB2w3/SHuWL4Vn33Iw18nwK7AtsAy4H8C1yJJ6mAg0mqzpy7lq1v/OwBfeLjKH5ZuG7iigdOeHfqfLImfDlqJJOlZDER6lr/f9NdUNv1flmfTOfq+ozz8tbtcLpOkHmUg0rNEEXxt62+xcbSMK57ag/MWvTp0SQMhqqQbAe2TdD2uQ5J6jIFIa9lxo4X8c8fhr4+umB24ooHwUmAW8BCQBq5FkjSEgUjD+uDmP2G3GXfx0Mq5Hv7aHe3lskuzJF4VtBJJ0loMRBrWRlNWcPo2ZwDwzcfeQFRJXxq4pH7X7j/kcpkk9SADkUb0qlk3cejcy9vDM6JKOi1kPf0qqqTzgH2KoRuqJakHGYi0Tl947tnMm/oEwIuB4wKX06/2J/9e+0OWxPeGLkaStDYDkdZpy2mL+Xxx+CvwqaiS2pxow7lcJkk9zkCk9fqneZcCXA3MBr4ctJj+ZP8hSepxBiKt15QoAzgaWAn8Q1RJ/zZsRf0jqqQ7A88HlgNXBC5HkjQCA5FGJUvi64GvFMOvR5V045D19JH2ctmvsiReErQSSdKIDETaEP8C3EM+4/HRsKX0DZfLJKkPGIg0alkSPwG8rxh+JKqku4asp9cVbQr2L4ZuqJakHtaVvjL1WvXDwAfJjya4GHgnsDlwDnn/lVuAdzWarbReqy4ALgCWAG9qNFu3dKMGTZoLgf8CDgROjyrp/lkSewTs8PYFNgMeA64LXIskaR3GPUNUr1VfB3wWeAfwMuCV5LMIpwJPArsDNwDfLh7yYeAE4FzgmHqtOrNeq36rXqtG461FE68IP8cCS4FXA/8YtKDe1l4uuyxL4pVBK5EkrVM3lsyeAU5oNFuXNpqt35PPBm0F7Aec32i27iIPQ/vUa9VNis95D3AfMBX4HHBVo9lylqFPZEn8Z+DTxfCLRSdmrc3+Q5LUJ8a9ZNZotq6guJy4Xqu+mPxU7xPIuxq3r6pZVLzdAvg6+bLLM+SzSC9pNFvvH/q89Vp1BjCDvPeNes+pwMHAi4B/Jb8sX4Woks4h/14AN1RLUs/r2qbqeq26LfBT4IuNZuvXI9wtazRbF5PvL9oNOAi4uF6r3lGvVZMiBLWdBDwO3NytGtU9WRI/AxxTDI+MKulfh6ynB72afAb0tiyJ7whbiiRpfboSiOq16hbkvwVfDnysuPlhYG7x/pzi7UMAjWZrJXB6cd/jWDO7cGDH055MviHVK5l6VJbEvwDOAyI8/HUol8skqY90Y1P1bPKrju4CPgRsVq9V55Avox1Sr1W3J7/q7JpGs7W0eMx+wIPFbNFU8iW1p4r3AWg0W8sazdZi1iy7qTcdT/767Qm8J2glvcX+Q5LUR7oxQ/QP5JcXv558VugxICUPR9OAm4C9gHe3H1DsO2qfnP454CJgW/JL9tVHsiReCJxYDD8dVdLnhaynF0SVdAfgheRHnfw8cDmSpFHoxqbqc8j7DQ1n/xFup31VWaPZOh84f7x1KKhvAYeRbyL+EvnesDJrzw79Okvix4NWIkkaFTtVa9yyJF5Fvg9sFVCLKunfBC4pNJfLJKnPGIjUFVkS/w4PfyWqpFOB1xZDA5Ek9QkDkbrpE8C9wE7kbRPKaC/gOcBi4NrAtUiSRslApK4pDn99fzE8MaqkfxGwnFDay2U/z5J4edBKJEmjZt8Yddt/kF81+LfAN6JK+tqSHf7aDkT2H5Kk9ajXqvOBtwOHAu9oNFs31mvVfYAzyM9C/SNwTKPZumqYx36AvPXLdOBs8mPExvzzxhkiddWQw1/3B+phK5o8USWdBSwohu4fkqR1qNeqmwJ3Am8l72VHvVadAvwIuBrYBbgeOGuYx+5OfoTUO4E3kf/cOXDo/TaEgUhdlyXxn4DPFMMvRZV0bsByJtOryH9TuRO4LXAtktTrngZ24Nm/OG8CfA/4fKPZupf8BIythnnsq4BbG83Wz4rjwn5V3DZmLplpopwKvAP4C+CzlKOL9erlspItE0pSp9nFiRVtyxrN1rKhd2o0WyuAhfVadceO25ZQNPut16rTgMMZvlfhljz7JItFxW1j5gyRJkSWxMtYc/jr0VElfUnIeiZJ+/wyl8skldnN5Iezt/+M9arjM8kPgx/t48f1i6iBSBMmS+LLyZN9BJxe9OgZSFEl3YZ8A2BGPsUrSWW1K/nh7O0/J2/oE9Rr1VPIZ93fUJxrOlTnAfKQHyK/cIMr7eCSmSba8UAF+CvyGaOvhS1nwrSbMf5flsSPBK1EksJaMkKIGZV6rXoicATwBmBxvVadWzzninqtOrXRbK0ErgROq9eqFeAB4OXAF8dTtDNEmlBZEj/ImunOzxYzKYPI5TJJ6o6TyWeWriE/MP4xYEG9Vq0BvwFoNFs3Ah8Evkne6uW0RrP13+P5pM4QaTJ8k/zSyJcA/xa4lq6LKukUPK5Dksak0WzdQb61oj2ORr43zY77fRn4crfqcIZIE644/PUo8sNf38pjSwNX1HV/SX5Z6JPkvTMkSX3GQKRJkSXxb2nvH7ptEawaqKvS25fbX1FcXSdJ6jMGIk2mfwbuY+kKuHvM++16UTsQuVwmSX3KQKRJkyXxYtqHv979BDzV/2efRpV0Jmu6o3p+mST1KQORJtsPmTcj79Zz+yLI+n7pbAEwE7gP+EPgWiRJY2Qg0qTKkjhj53n59QSLlsFDT4cuabxWL5d5XIck9S8DkSbfxtNg++KYmz8tghWrgpYzTu3+Qy6XSVIfMxApjG03zYPR8lVwx+OhqxmTqJLOB/YshpcGLEWSNE4GIoUxJYKd5+bv3/8kPPFM0HLG6IDi7e+yJB7XGTqSpLAMRApn3kzYcuP8/dse68cN1h7XIUkDwkCksHaaC1MjWLI8nynqE1EljbD/kCQNDAORwtpoKuy4Wf7+HY/DMyvD1jN6uwLPA5YCvwxciyRpnAxECm/rWTB7OqzM8qvO+kN7uex/siTu+94BklR2BiKFF0Wwy7z8/Yeepk8Of3W5TJIGiIFIvWHTjWCb2fn7ty/q6cNfo0q6EfDqYmj/IUkaAAYi9Y4d5sD0KfD0ivyss971MmAWsBC4IXAtkqQuMBCpd0ybsqY30d2L4emePfy1vVx2aZbEfd1mW5KUMxCpt2yxMcwtDn+9bVGv9ibyuA5JGjAGIvWWKIJd5q45/PXh3rqAK6qkzwH2KYYe1yFJA8JApN6z8XTYrmcPf92fPK7dlCXxvaGLkSR1h4FIvWm7TWHmNHhmFdy5OHQ1nVwuk6QBZCBSb5pSLJ0B3LekJw5/9bgOSRpcBiL1rt47/HVnYEdgOXBF2FIkSd1kIFJv663DX9vLZVdlSRy8GElS9xiI1Nt66/BXl8skaUAZiNT7euDw16iSTiO/wgzcUC1JA8dApN7XG4e/vgSYAzwK/DZEAZKkiWMgUn/YdKN8pghCHf7aXi67LEvioOt2kqTuMxCpf+y42ZrDX++Z9MNf24HI5TJJGkAGIvWPaVPyq84A7lqcB6NJEFXSzYCXFkM3VEvSADIQqb9s2XH46+2T1pvo1cBU4NYsie+cjE8oSZpcBiL1lyiCnefmp4k9NmmHv7pcJkkDzkCk/rPJ9PysM5isw1/bDRldLpOkAWUgUn/abg7MnDrhh79GlXRH4AXASuAXE/aJJElBGYjUn6Z09Ca6bwksmbDDX9vLZddkSfz4RH0SSVJYBiL1r3kzYYsJP/zV4zokqQSmhS5AGped5uadq59YDg88CVvPHtvznLjTWmlqZTaF50w9m0dXzuGqnU74F0685V/GV+wG+tyfokn9fJJUYs4Qqb/NmAo7zMnf/3N3D3+97umdeHTlHOZMeZKXbHxr155XktR7DETqf9vMXnP465+7t83nkiV7ArD/rBuYFk34lWySpIAMROp/nYe/LnwKFnXn8NdLnnwxAK+f/buuPJ8kqXcZiDQYOg9/vW3RuA9/XbJyJlc9tSsArzMQSdLAMxBpcHTx8Ncrn9qd5dl0dpz+IDtv9ECXCpQk9SoDkQZH5+Gvd4/v8NdLlqxZLou81kuSBp6BSINly41hsxmwinEd/vqzYkO1y2WSVA4GIg2WKIJd5o7r8Nd7lz+Hm5ZtT8Qq9p91Q9dLlCT1HgORBs8m02Hb9uGvj2/w4a+XFstl+258G8+ZtqTb1UmSepCBSINp9eGvK+GuDTv81eUySSofA5EG09QIdi56E907+sNfV2XR6hmi182+fqKqkyT1GAORBtdzOg9/XTSqDdY3LN2BhSvnMmvK07xs41smtj5JUs8wEGmw7TQ3ny164pn88Nf1aC+XvXrWjWw0ZeyX7UuS+ouBSIOt8/DXO9Z/+Gv7/LLXzXK5TJLKxECkwbfNbJg1HVas+/DXp1dtxJVP7QZ4fpkklY2BSIOv3ZsI1nn46y+fehHLso143rSH2XXGPZNXnyQpOAORymHODHjuug9/Xb1cNvt6j+uQpJIxEKk81nP4a3tDtctlklQ+BiKVx/QpsNNm+ftDDn99cMVmXL/0+QAcMDsNUZ0kKSADkcply006Dn9dtLo30WVFM8a9Zt7O/Gkjb7yWJA0mA5HK5VmHvy6FR/IN1j/r2D8kSSofA5HKp/Pw19sXwYpVXLL6uI7fBStLkhSOgUjl1Hn46x8e4b4VmzODZSzY5A+hK5MkBWAgUjlNjWDnufn7i5YBsIyN+O6i/cLVJEkKxkCk8po1fcgNEUfedzT3LN88SDmSpHAMRCqvp9c+vHUlU7lt2dYBipEkhWQgUnltPG2tm6aykl1m3B+gGElSSAYildeMafCCeauHU1nJmduczrbTHwlYlCQphLV/RZbK5LmzYN4Mfr7wcHaZcb9hSJJKykAkzZjGq2ffGLoKSVJALplJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSMxBJkqTSm9DT7uu16luBk4F5wIXA0cCni7c/Bf6x0WxlE1mDJEnqTfVadT7wduBQ4B2NZuvGeq06Dfgb4DDglkaz9dERHvtx4FhgJnnGOKLRbD0z1lomLBDVa9XNgbOA9wC/Bi4FjgfqwF8D5wJ71mvVTYFdG83WNyeqFkmS1FuKn/93Ar8D9uz40HeBvYA5wB0jPHZP4FNApXiO/wF+Cfz7WOuZyCWzlwARcHaj2boJ+C/g1cDT5F/gYuA5wKlAawLrkCRJvedpYAfyiZJO7280Wy8Ebl7HY9urS3cCdwPLgBXjKWYil8y2BJ7sWBJbBOwEXAE8DlwOHA58ptFsLRz64HqtOgOYAcwubtqqXqt2vciZ8aldf87xemTFhK5kjsmxterzuvVc/p2PTjf/znvRaTvcdE/oGoY69s7dtu3Wc7XiU3vu66umx3ft65OGsVXxdna9Vp3TcfuyRrO1bOidG83WCmBhvVbdccjt96/vEzWarevrteppwPXAKuBK4JyxFg4TvIdoGFmj2Xp3vVY9BvgH4ACgWq9Vvw78a6PZOr3jvicBn+gY/2YiCqqmx0/E047LsewWuoThdO0/d//OR63nfqB207F3DvbfeS/+O2fA/02pZwyd2fkk8C/d/AT1WvWvyCdVasDDwI+AtwGNsT7nRAaih4FN67XqlEaztYp8LbA9E/Rc4EPAB4F/I58uawKdgejk4mMAL2Ld38izyV+AXYEl3foCepBf5+Apy9fq1zlYyvJ1Qnm+1m59ndsBNw25ba3ZoS54LfCnRrP1I4B6rXoZ8Lf0aCC6FlgJHFmvVX9OXuhnio/9M3Ac+XrfM8Aj5PuNVium19p/ib9e1yfqmJq7v9FsLe5K9T3Ir3PwlOVr9escLGX5OqE8X2sXv857u1HPSOq16tRGs7WSPHTtXK9VX00+2fJy4Ovjee4J21TdaLYeBt4JfAS4GvgZcHbx4SMazdY1wHXAg+Th6avj+HTLyKfkJiKF9hK/zsFTlq/Vr3OwlOXrhPJ8rT3/ddZr1RrF9plGs5UAXwB+APwKuAz48nieP8oy2wBJkqRys1O1JEkqvd671ngdhut83XkpX71WnQd8h/zqtXuBYxrN1s9D1Doe9Vr1w+QbzmcBFwPvbDRbT3Z8/GXkU4SdNm00W3234a9eq/438PqOm77YaLaO7/h437+m9Vr1bPIurJ1ubzRbu3Tcp69f0xG6zW5PfhnsPsAtwLsazVY6zGM/QN60dTr5svoJvdrBfoSvcx/gDGB34I/k/0avGuaxtwAv7LjpuEazddoklL3BRvg668D3Ou72SKPZ2mKYx/bt6wlsAQz3/8srG83WL4c8tp9ez7V+pgCbM2Dfn+PVNzNEHZ2vPw28gryt9+FD7nYS+Q73FwP/AZxfr1U3msw6x6teq74O+Cz5N+fLgFcC7xtyt63JG1HNa//plx+cw9iavJt5+2v52JCP9/1rChxDx2sF/IL8EtFOffuadnSbfSvP7jZ7KvAkeVC4Afj2MI/dvbjfO4E3kbfhP3BiKx6b4b7Oeq06hfy1vBrYhbwnylkjPMXW5F9j+zXuye7863g9twauYk39Ow3z2L5+Pck7HXd+rx4B3MfwF/b0y+s50s+Ugfr+7IZ+miHq7Hyd1WvV/wJexbN3le8H/LDRbP25XqueAXwU2Bn4w6RXO3bPkCfwS2H1byFbDbnP1uRXAiya5NomwtbAn9fxtfT9a9potp4CngKo16p/CSxg7Rmjfn5N291mNwH+3HH7fsD7Gs3WXfVa9dvA/9Rr1U2Kv4+2VwG3NpqtnwHUa9VfFbf95+SUvkGG+zo3IZ81Oa3RbN1br1UvB/5+6APrteosYFPymcFFk1PumI30em4N3Lue+vv69SwaBS5q36Feqx4JfL3RbC3vfGCfvZ4j/UwZtO/PceunQDRS5+uh91nS8fH2bf30w/MK8m7e1GvVFwMvBU4YcrdtgB3rteqfgaXApxrN1ph7L4RSzPRsDnyhXqv+O/lv2Uc2mq1HOu7W96/pEMcDFzaarbuG3N63r+lI3WYZ/rXbArhrhPu077dl14vsguG+zmIW70SA4kDKw4Hzh3n4Nu2H1GvVLciXLY5tNFtLJ7ToMVjH67kN8LJ6rXoP8BDw4fYP2Q59/Xp2qteqryGfPXnDMB/up9dzpJ8pxzFA35/d0DdLZiMYzTpmX6511mvVbYGfku+pGTpd+yPyQ+3eSN6E6ux6rbr1JJfYDRn5FOwHgP8HxIyum2m/vqbPI29C+pVhPjwor+n6DOz3LHAmecA/aZiPLQTeT758egj5LNJ7Jq2y7vgW+b/R1wPXAD8Y5fJ1v76eHwbOH/ILWlvfvZ7r+ZnSNsjfn+vVT4FodefrYtzZ+brzPnM7Ps4w9+l5xW8cl5Cf9zZ0Tw3ke03OLQ7NPRXYiLy7aL+ZCvy40WxdUnyDtshDUaeBeE0L7weuH27DLYPzmnYa7rV7aB33ad+v717feq16CvA64A0jNLVbAXy/0Wz9qtFsXU6+cXfov/Vedwvw3eLf6NfID+ceet7eoLyee5DvUx3ulxfos9dzhJ8ppfn+HK1+CkSdna93Je98/Yt6rTq14z5XAAfVa9WdyDfD3QPcPumVjkO9Vp0N/Bf5tOWHgM3qteqcIV/n14GL67XqduS/nTxD/p9Vv9kFuKdeq761eM3eAKSD9prC6i6wR9DROGxAX9NOVwCHFFebvRO4pr2k0PG1XwnsVK9VK8XVWi8n33TeN+q16onkr20NWFyvVecWy2edX+eryf+tv6rYqPoKYK0renrcT4Dz6rXqNuRXZj1K0ZV4kF7PwvHAZY1m68bOG/vx9RzpZwol+f7cEH0TiNbR+frCeq36weJu/0r+w/J3wEHAwcU6cT/5B2Bf8mnph4HHyL/ROr/OD5FfHXAz+bTuOxrN1n0Bah2X4j+b9wJfJH/NbiM/1mXQXlOAI8lfsws6bhu413SID5HvU7wJ2At4N6zVbfZG8suBvwlcRL45+b+DVDt2JwObkS8jPVb8WTDk6/xP4BTgh+RXMl1EPsvSTw4nnxG6DagCtUaz9cygvZ7F0vbbGdL1uI9fz5F+ppTl+3PU7FQtSZJKr29miCRJkiaKgUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJWegUiSJJXe/w8BNjPY9I92ggAAAABJRU5ErkJggg==);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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Au0k2k3wIQhUEI/DJ73lLg/aQ9SN8CrirHybh6t+0hkgR72N2+CX4IHEE6bHbDGF/DQCT1qHKcLAcKDcffZpSh+3KcxEDccHwlcGWz6rCHSOpzhVJ1Jjt6b5o5f6ju5ux2PPOIDESSWspAJOkE0t7iu2uV4nj3GxtNfR7R8wul6rQxvoaBSFJLGYgkteJy+0Z/BO4nXV7/hWN8DQORpJYyEElqaSDK9kQb7+X39cvuDUSSWsJAJPWxQql6BLCIdH2fm1r4rcY7j8geIkktZSCS+lt9u46f1CrFsa4bsjfqPUR/lq06vdcKpeoAcHB2aCCS1BIGIqm/tXr+UN0dwMPANNLl+PfFgcAA6bL8DzW5LkkCDERS3yqUqpOAl2eHLQ1E45xHVB8ue7hWKQ41rypJ2sFAJPWvFwIzgdXAbW34fuMNRA6XSWoZA5HUv+rDZd9t0/5g9UB0XKFU3ZdV8g1EklrOQCT1r/qE6lbPH6r7LfAoaa/Us/bhPAORpJYzEEl9qFCqHsiOyc2t2L9sF7VKcRj4UXa4L8NmBiJJLWcgkvrTK0g3U/xtrVJ8oI3ftz5sdvw+nGMgktRyBiKpP7XrcvuR6oHoJYVSdW9//tQD0YMtqEeSAAOR1HcKpWqBHfOH2jJc1uA24DFgLvD0vTzHHiJJLbcvV3qol11wRG3U9kvvLtTvFi5bM+pzRj9RHewZwAJgMzvm9LRFrVLcWihVfwycSDqPaOmenp+FNwORpJazh0jqP/XhsptrleLjOXz/fZlHtD8wJbtvIJLUMgYiqf/kNX+obvsCjVkP0J7Ue4cerVWKm1tYk6Q+ZyCS+kihVJ3Ojkve8wpEPwMGgUOARU/wXIfLJLWFgUjqLy8hHYJaQbrhattlw3Q/zQ6faNjMQCSpLZoyqToKg3nAm4F3AG8rx8nSKAyOBT5DOoHz98AZ5Ti5JQqD44AvAxuBk8pxcmczapC0V7YPl2Ubrublh6Q9VS8F/n0PzzMQSWqLcfcQRWEwE7gHeCNwTNY2Afga8BPSLvHfANdmp3wAOB/4AnBGFAZTozD4tygMnmgugaTxy3v+UN3ebvRqIJLUFs0YMtsMHAZEDW3TgS8Cl5Xj5H7gRuDghu+5AngAGAAuBW4px4lXb0stVChVn0S69s824Ps5l/NjYAg4rFCqHraH5x2S3RqIJLXUuIfMynEyBKyKwuDwhraNwAUAURhMBE4Brsse/hRwPbAFuAJ4fjlOzhn5ulEYTCGd6zBjvDVKAnYsxvjzWqW4Js9CapXiY4VS9ZfAC0h7if5zN0+1h0hSW7RjUvUS4ADgQoBynNyQHT8deANwQxQGy6MwqGQhqO5C0p2xc5n4KfWgdu9u/0T2ZtjMQCSpLVq6UnUUBpeTrkh7XDlO1tfby3EyHIXB1cBFwGXA6cCZwGtIe48ALgE+TvoD0VDUJP222vRu/3vPn9tXc9YKpeoA6b9F6JxAdDPpnEIDkaTctayHKAqDC4DFQAisj8Jg/2z4jCgMjgceynqLBoB1wKbsPgDlOBnMQtTGVtUo9ZFjgTmkva4/y7mWultIs/hRhVJ1/sgHszWTZmWHBiJJLdXKIbNLgNnArcDa7Os4gHKc3AycnT3vUuBbwELghhbWI/Wz+tVl36tVikO5VpKpVYrrSK9AhXR9pJHqIWkzsH6UxyWpaZo2ZFaOk+VAoeF4j0MS9avKynFyHTsmXEtqjXogavfu9k/kh6TLdbyUdH2yRtuHy3JeM0lSH3ClaqnHFUrV/Umv5oLOmT9Ud3N2O9o8IucPSWobA5HU+/6cdH7enbVK8Z68ixnhR9ntMwul6gEjHqsHogfbWI+kPmUgknrfa7PbW3KtYhS1SvFh4HfZ4XEjHraHSFLbGIikHlYoVd8NvCU7PDk77jS7GzYzEElqGwOR1KMKpepC4JrGJmBJ1t5J6gs0Hj+i3UAkqW0MRFLvOpJd/40PkG643Enq84ieXShVZzW0G4gktY2BSOpd943SNgwsa3che1KrFFcAd5P+PHpRw0MGIkltYyCSetefjzgeBk7LAkinqc8jOh6gUKpOBg7M2gxEklrOQCT1oEKpWgDemx1+GHgZcHitUvxsbkXt2ciNXg/OboeAR9pfjqR+09LNXaWOdcERo698fOndvbLp6yuAp5PuBXhlrVJ8NOd6nkg9ED0v28OsPlz2UK1S3JZTTZL6iD1EUm+q9w5d2wVhCOCPwP3AJNJVtZ0/JKmtDERSjymUqkcC/4d0J/lP5lzOXsn2KmucR3RIdt9AJKktDERS7/nr7PYbtUrxrlwr2TeN84jsIZLUVgYiqYcUStXZwDuzw3/NsZSxqAeiPwMOy+4biCS1hYFI6i3vAmYA/wt8P+da9tUdwMPAVOA1WZuBSFJbGIikHlEoVQfYMVz2r9m8nK6R1VvvJZqX3RqIJLWFgUjqHScBhwOrgevyLWXMfjji2EAkqS0MRFLvOCe7vaZWKW7Os5BxMBBJyoWBSOoBhVL1GNLL1YeBT+dbzbj8FljXcOzisZLawkAk9Yb63KG4Q/cq2yu1SnEYuKeh6Q+FUvXdedUjqX8YiKQuVyhV5wFvyQ677VL7nRRK1YVAsaFpArAka5ekljEQSd3vNGAy8LNapXhr3sWM05HAyP3kBoBFOdQiqY8YiKQuVihVJwNnZIdX5lhKs9wFjNzMdRhYlkMtkvqIgUjqbm8g3ffrAeArOdcybtn8p8WkIYjs9rRunhclqTsYiKQuVShVC+zY1f7TtUpxa571NEutUvws6XpKLwMOz44lqaW8pFXqXi8CjgUeB67JuZamynqE7BWS1Db2EEndq9479P9qleLDuVYiSV3OQCR1oUKpeijw2uywqy+1l6ROYCCSutOZpJej31irFH+bdzGS1O0MRFKXKZSq+wGnZof2DklSExiIpO7zVmAOcDfwjZxrkaSeYCCSusiIS+0/ke39JUkaJwOR1F1OBJ4GbACuzbkWSeoZBiKpu5yT3f5HrVJcn2chktRLDERSlyiUqk8FXg3UgE/mXI4k9RQDkdQ9zs5uK7VK8Q+5ViJJPcZAJHWBQqm6P/DO7PDK3AqRpB5lIJK6w/uB/YA7gJtyrkWSeo6BSOpwhVL1VODvssOnAu/KsRxJ6kkGIqmDFUrVhcCSxiZgSdYuSWoSA5HU2Z5LGoIaDQCLcqhFknqWgUjqbNEobcPAsnYXIkm9zEAkdahCqXo88EbSdYe2Zc3DwGm1SnFFboVJUg+amHcBknZVKFWnAJ/JDq8BPkI6TLbMMCRJzWcgkjrTB4CjgVXAhbVKcS1gEJKkFnHITOowhVJ1EXBRdvi+LAxJklrIQCR1kEKpWgA+DUwBvgeU861IkvpDU4bMojCYB7wZeAfwtnKcLI3C4FDg88CxwJ3Au8pxUo3C4Djgy8BG4KRynNzZjBqkHvEm4ERgEDi9VinWcq5HkvrCuHuIojCYCdxDejXMMQ0PXQE8BjwD+C3w2az9A8D5wBeAM6IwmBqFwb9FYTByrRWpr2T7lf1LdvhPtUrRS+slqU2aMWS2GTiMXddLOR64rhwn95KGoWOjMJiefc8VwAOkC8xdCtxSjhP/Ela/uwQ4mLRH9fKca5GkvjLuIbNynAwBq6IwOHzEQweRDosBrMtuDwQ+BVwPbCHtRXp+OU7OGfm6URhMIZ1HMWO8NUqdrlCqvhA4LTt8T61SHMyzHknqN+2eVF0rx8kNwAHA04E3ADdEYbA8CoNKFoLqLgQeJd3dW+pZhVJ1Eul+ZQXg87VK8Qf5ViRJ/aeVgegRYP/s/qzs9mGAcpwMA1eTXlp8NnB69vhrGs6/BJhNuhaL1MveCxSBNcB5OdciSX2plYHoZuDt2dVmJwO3luPkcYAoDI4HHsp6iwZIh9Q2ZfcBKMfJYDlO1rNj2E3qOYVS9TDg77PDD9QqxUfyrEeS+lUrA9G5pHOUbgeeDZxaf6AcJzeT9gxBOqn6W8BC4IYW1iN1lGzNoU8C04EfAdfmW5Ek9a+mbd1RjpPlpHMg6sf3An++h+fXstvrgOuaVYfURQLgJGAr6URqr7SUpJy4l5mUg0KpOpO0dwjgn2uV4u151iNJedjNws7Hkm5u/Qzg98AZ5Ti5ZZRz7wSOamg6uxwnV421FrfukPLxD8CfAHeT7mQvSX1ltIWdozCYAHwN+AmwCPgNu59OMJ+0l31O9nXNeOqxh0hqs0Kp+hzgr7PDM2qV4uY865GknNQXdp4O/DFrmw58EbiqHCf3R2FwI/BXI0+MwmA/YCbwh3KcrGtGMQYiqY0KpeoA6ZpDE4D/qlWK3865JElqthlRGMxqOB4sx8kui82OtrBzOU42AhcARGEwETiF0ecZL6ifEoXBgaQXZZ1Vv5p9LBwyk9rrdNINj9cD78u5FklqhTtIF1auf104xtdZQrqQ82jnrwLOAc4A3k7ai3TmGL8PYA+R1DaFUvW5wGXZ4YW1SnFlnvVIUoscDTT+fNvnrYiiMLgcOBE4LluTcKQh4EvlOHkoe/5NpAvcjpmBSGqDQqn6buDfG5q25FWLJLXYxt2EmL0ShcEFwGLglcD6KAz2z15zKAqDgWy3ixOAJAqDlwOrgRcDHx9P0Q6ZSS1WKFUXsuvVD5/J2iVJO6tv3XUrsDb7Oi4KgxD4JUA5Tr4BXA58Bfgf0gWePznqq+0le4ik1nsqu/7xMUB6SemK9pcjSZ1jlIWdC7t/NnHD8z4IfLBZddhDJLXe80ZpGwaWtbsQSdLoDERSCxVK1dmk+/oBbMtuh4HTapWivUOS1CEcMpNa6yLgQNLLUF8NHA4sMwxJUmcxEEktUihVnwK8Nzs8t1YpLgeW51aQJGm3HDKTWudyYBLwHdIrICRJHcpAJLVAoVQ9Hngt6byhc2uVYi3nkiRJe2AgkpqsUKpOYMcCYdfUKsWledYjSXpiBiKp+d4OPId0v7KLc65FkrQXDERSExVK1Rmkq6wC/GOtUnw4z3okSXvHQCQ11/nAIcAfGOcy8pKk9jEQSU1SKFUPBc7LDv+mVinu8w7PkqR8GIik5rkEmArcDFyfcy2SpH1gIJKaoFCqvgB4M1AD3u9l9pLUXQxE0jgVStUCcGV2+PlapXhbjuVIksbAQCSN35uAFwKPAR/MuRZJ0hgYiKRxKJSq04DLssNLa5XiA3nWI0kaGwORND7vB54E3Ad8LOdaJEljZCCSxqhQqs4HLswOL6hVipvzrEeSNHYGImnsPgLsB/wUKOdciyRpHAxE0hgUStVnAydnh+/zMntJ6m4GImkfZZfZ/wtQAL5UqxR/knNJkqRxMhBJ+y4AjgceBy7ItxRJUjMYiKR9UChVjwCuyg4/VqsU78mzHklScxiIpL1UKFXfDSwDFmRNrjkkST3CQCTthUKpuhC4hnTeEAADDH9qxbnPq3HBEemXJKlrGYikvXMkI/69DDPAssH5OZUjSWomA5G0d+aNbBhgmEVTVuZRiySpyQxE0hPI9iv7SHZYgzQMLVlwNQsnrc6vMElS00zMuwCpC3wQWEQ6ifrlNx1+0e8WTVlpGJKkHmIgkvagUKo+Azg/Ozy7VinewQVL8yxJktQCDplJu1EoVSeQXlk2Efhv4Pp8K5IktYqBSNq9U4EXARuBs9yvTJJ6l4FIGkWhVJ0PXJYdXlSrFO/Lsx5JUmsZiKTRXQnMBn7Bjq06JEk9ykAkjVAoVV8DvAHYBiyuVYrDOZckSWoxA5HUoFCq7gd8Oju8slYp/irPeiRJ7WEgknb2YeAw4F7gQ/mWIklqFwORlPn15icDvC87PKNWKW7MsRxJUhu1dGHGKAxOIf0rew5wI/B24G+B04GvA28px4mXMit3w7UJnPrAGQADQFyrFL+Rc0mSpDZqWQ9RFAYHAEuAfwKKwNOAjwIR8ALgKOCYKAxeGoXB4lbVIe2NT615Nb/YfCTAo8B7cy5HktRmrRwyKwDDwArgfuCx7HgzsBxYD8wFrgCSFtYh7dF9Ww7kgw+9tX54Qa1SdAt7SeozLRsyK8fJI1EYXEg6NLYF+APwAWAq6V/hNwKnAB8px8mqkedHYTAFmALMaFWNEsDZK09l47ZpvGj67/jxpqddU28vXLZm1OFcx3glqfe0csjsT0jnD50JvBiYBLyvHCenAtOBa0m3RAiiMLgvCoPTR7zEhaTB6Y5W1Shdv/4F/H8bXsBEhliy4GpqleK2vGuSJLVfK4fMXgwMlOPk0+U4+QXwNeDV2WOHAOcCXwCeSTqv6OIR519CulLw0S2sUX1s/fA0zn7gVAD+5qDr+dOp9+ZckSQpL628yuwOYFoUBm8Afg6cCPwse+xi4GxgiHQ4bTXpnKPtynEyCAxGYTCzhTWqj1300Fu4f+hAnjJ5JRcdFOddjiQpRy3rISrHSRU4C/gYUAXuAy7KHl5cjpNbgduAh0iD0idaVYs00s82HclVa14DwGcWXM20CVtyrkiSlKeWrkNUjpNPs2MbhMb2Wna7DXhtK2uQdrF5iDff935qTOCts3/AK2ZU865IkpSzlgYiqeM8+BjctZY/MB+o8dxpy/KuSJLUAdy6Q/1jcAjuWtvQUOC8B09mxdYDcitJktQZDETqH5uHdmkaZoBlg/NzKEaS1EkMROofQ7suMTTAMIumuDC1JPU7A5H6Q60GK3bevH6AYZYsuJqFk1bnVJQkqVM4qVr94ZHNsGELTChA8SBuWreYRVNWGoYkSYCBSP1gWw2WP5reXzgDZk7mhKGl+dYkSeooDpmp9z2wER4fhskTYKELn0uSdmUgUm/bOgz3rk/vHzYbBvzIS5J25W8H9bZ7N8BwDfabBAdPz7saSVKHcg6RelahVD1q+5bBT54NhcIeny9J6l/2EKmXXU4NmDsV5kzNuxZJUgczEKknFUrVE4C/AtLeIUmS9sBApJ5TKFUnAB8DYP5+MH1SvgVJkjqegUi96K3Ac4D1HDor71okSV3AQKSesmnbZICPZocfZfJAjtVIe6dQqi4slKovK5SqC/OuRepXBiL1lI89EgD8CXAP8K+5FiPthUKp+m7Sz+uNwD3ZsaQ2MxCpZ6zcOofLHvm/9cMLapXi43nWIz2RrEfoGnb8LJ4ALLGnSGo/A5F6xsWrIh7bNg3gp8B/5VyOtDeOZNefwwPAohxqkfqagUg9ofr4YfzH2pfXD99fqxRredYj7aW7gG0j2oaBZTnUIvU1A5G6Xq0G5608mW0M8PpZt1CrFH+cd03S3qhViiuAxaQhiOz2tKxdUhsZiNT1btj4HL772DFMLmzl0oP/M+9ypH1SqxQ/CxwOvAw4PDuW1GbuZaauNlSbwHkPvhOAs+d+g6dMeTDfgqQxyHqE7BWScmQPkbraZ9e+gtsHD2XuwHo+OC/OuxxJUpcyEKlrrR+ext899GYAPjTvv5gz8FjOFUmSupWBSF3r0odfx8PD+3PU5Ps5fe4NeZcjSepiBiJ1p/WDXPHIXwJw+SGfZ1Jh+AlOkCRp95xUre7z4GNw11q2Mhmo8fCQG7hKksbHHiJ1l8EhuGttQ0OB9zxwOiu2HpBbSZKk7mcgUnfZNLRL0zADLBucn0MxkqReYSBSd9mwZZemAYZZNGVlDsVIknqFgUjdY8swrNiwU9MAwyxZcDULJ63OqShJUi9wUrW6x92PwnANZkyCpx3ATQ+fwqIpKw1DkqRxMxCpO6x7HB7elN5fNAemTuSEGUvzrUmS1DMcMlPn21aDZevS+/P3g5mTcy1HktR7DETqfPdvgM1DMGkCHDY772okST3IITN1tEKpehgTCunBk2enoUiSpCbzt4s63ZVsq8GsyTBvet61SJJ6lD1E6liFUrUEBBRIJ1IXCnmXJElqoigM5gFvBt4BvK0cJ0ujMDgW+AzwDOD3wBnlOLlllHPfB5wHTAI+B5xfjpPaWGuxh0gdqVCqTgM+AcCfzID9JuVbkCSpqaIwmAncA7wROCZrmwB8DfgJsAj4DXDtKOc+A7gCOBk4CTgLeM146jEQqVNdCDwZWMGhbt4qST1oM3AYEDW0TQe+CFxWjpP7gRuBg0c596XAXeU4+U45Tn4K/DhrGzOHzNRxfj+4AOD87PC9DEz4ao7lSJL2zYwoDBr/kh0sx8ngyCeV42QIWBWFweENbRuBCwCiMJgInAJcN8r3OAjY2HC8LmsbMwNRFypctmbUMdLa2mNHP+HSu7tm8k2tBmc+sBhgMvAt4Pp8K5Kk7lQoVRcCRwJ31SrFFW381neMOP574MNjeJ0lwAGkIwZ7Y8zzh8AhM3WYeP2L+d5jxwAMAmfXKsVxfcAlqR8VStV3k87PuRG4Jztul6OB2Q1fl+zrC0RhcDlwIvDKcpysH+UpjwD7NxzPAlbtc6UN7CFSx9gwPJX3rXxX/fCSWqX4hzzrkaRulPUMXcOOTo8JwJJCqfrtNvUUbdxNiNkrURhcACwGXgmsj8Jg/+w1h6IwGCjHyTDwQ+CqKAxKwIPAi4CPjadoe4jUMT68KuKBoQN4yuSVAJflXY8kdakj2fX3+wDpVVvd4BLSnqVbgbXZ13FRGITALwHKcbIUeD9p8PsWcFU5Tr49nm/a0h6iKAwGSMf+TgZ+V46TUtYNdjrwdeAt41kzQL2j+vhh/OvqEgBXzb+GV33qq4/nXJIkdau7gG3sHIqGgWX5lLNn5ThZDhQajvc07zVueN6VwJXNqqPVPURXAmeSLpz09igM5pJeXvcC4CjgmCgMXhqFweIW16EOtq1W4PQH3sMwA7x+1i28auav8i5JkrpWNiy2mDQEkd2e1uaJ1V2nZYEoCoODgfcA7ynHyfXlOFlDmgA3A8uB9cBc0oWVklbVoc73+XUv48ebnsZ+EzbzL/P/I+9yJKnr1SrFzwKHAy8DDs+OtQetHDJ7PumY5RuiMLgKWAqcCtwMPEo68/0U4CPlONllZngUBlOAKcCMFtaonK0ZmsHfPPgOAD4870ssnLQ654okqTdkPUL2Cu2lVg6ZzSFdE+AW4C9JV5r853KcnEq6EuW1pIsqBVEY3BeFwekjzr+QNDiNXM9APeRvH3orjwzP5hlT7uG9B1TyLkeS1KdaGYhWAZvLcfLpcpz8CvgSUMweOwQ4F/gC8EzSeUUXjzi/Psv86BbWqDw9sokla/8CgKsXLGFSYfgJTpAkqTVaOWT2E2AwCoOzgAoQALdlj10MnA0MAVuA1TTMMAfIlvkezDZ/U69ZuRGWrQMmUKDG7wcX8JL9bs+7KklSn2pZD1E5Th4FXkc6sfq3pKHn3OzhxeU4uZU0ID0E/Iz6zubqfYNDWRhK1Shw2gOns2LrAfnVJEnqay1dh6gcJz8A/nSU9lp2uw14bStrUAdatWmXpmEGWDY430nVkqRcuFK12mtwGO7bsEvzAMMsmrIyh4IkSTIQqZ221eCO1TBcg8kD25sHGGbJgqvtHZIk5cbNXdU+9zwK67fAQAGKB8EEuGnVKSyastIwJEnKlYFI7bF6M6zYmN4/ai5MSz96J8xYmmNRkiSlDERquUKp+mQmZqsqLJgBB07LtyBJkkZwDpFaqlCqTgG+zFANZk6GJ8/OuyRJknZhIFKrfQw4lokT4Oi5MKHwhCdIktRuBiK1TKFUfSNwJgBPnQNTHaGVJHUmA5Fa4s7BBQD/nh1+lLnOG5IkdS4DkZpu07bJvP7e8wFmADcDH8q3IkmS9sxApKY784HTWDp4GKT71EW1SnEo55IkSdojA5Ga6tq1f87n1r2cCQxDGobcj0OS1PGc5aqmqT5+GGc8cBoA/zCvzAf/4/Kbci4pN4XL1tRGa6+dP9fL7CSpA9lDpKZYPzyN19/7Nzxem8KrZvySCw/6at4lSZK01+wh0rjVanDq/Wdy15Y/YeHER/jPhVcyoTBqB4n2gr1LktR+9hBpfAaHOGflu/ny+uOYyBBfPvSfOXDihryrkiRpn9hDpLF78DG4ay2f4CQAXjvrJ/zZ9DtzLkqSpH1nINLYDA7BXWt3avrq+hexYuvnWDhpdU5FdYELjhh9LPHSux0Ok6QcOWSmsdm869JCwwywbHB+DsVIkjQ+BiKNzWO7BqIBhlk0xWWHJEndx0Ckfff4ENzz6E5NAwyzZMHVDpdJkrqSc4i0b2o1+P0aGK7BzMlw9FxuevgUFk1ZaRiSJHUtA5H2zf0b4dEtMKEAT50LUydywoyleVclSdK4OGSmvbdxCyzPhsqesj9MM09LknqDv9G0Vwql6lSmT4QacMBUOHh63iVJktQ09hBpb13CpiGYNAEWzYGCy+ZIknqHgUhPqFCqngicA8BRc2DyQK71SJLUbAYi7VGhVJ0LfA6A+fvB3Gm51iNJUisYiLRbtXSTic8AC4A7efLsXOuRJKlVDETarevWnQAQAkPAWxnw4yJJ6k3+htOolm+Zx5krF9cPP1yrFH+RZz2SJLWSgUi7GK5N4O0r3suGbdMBbgEuzbkkSZJaykCkXfzzIwE/2vQMZkzYDPC2WqU4nHdNkiS1koFIO7lt8xFcvCoC4JPz/41apfjHnEuSJKnlDETabvO2ybx1xfvYWpvEa2f9hHfsf2PeJUmS1BYGIm13/oNv53eDT2L+xDUsWfBpF6OWJPUNA5EA+PaGY/jkmhIA1/7JJzhw4oacK5IkqX0MRIKNW3jzfe8H4Oy5FV4589f51iNJUpu5232/W7kRlq1jDbOAGk+bcl/eFUmS1Hb2EPWzwSFYtq6hocDZKxezYusBeVUkSVIuDET9bNPQLk3DDLBscH4OxUiSlB8DUT/buGWXpgGGWTRlZQ7FSJKUHwNRvxreBvdv3KlpgGGWLLiahZNW51SUJEn5cFJ1v7p/I2zdBlMH4E8P4qZHTmHRlJWGIUlSXzIQ9aMtw7AiW2fosNkwbSInzFiab016YhccURu1/dK7XUJTksbJIbN+dN8GGK7BjElw0LS8q5EkKXcGon6zeShdewjg8Nm4P4ckSW0aMovCIAZeX46TQhQGlwOnA18H3lKOk9GHAdQa9zwKNWDOFJgzNe9qJEnqCC3vIYrC4C+B/5vdnwtEwAuAo4BjojB4aRQGi1tdh6BQqj6XhzenB4fPzrcYSZI6SEsDURQGs4BPAZ/MmgrAZmA5sB6YC1wBJK2sQ9tdCsC86TBjcs6lSJLUOVrdQ3QZ8F3g+wDlOFkN3Aw8CmwFTgE+Uo6TVSNPjMJgShaoZrS4xr5QKFX/AngFBeCwWXmXI0lSR2lZIIrC4DggAM5rbC/HyanAdOBaYCMQRGFwXxQGp494iQtJg9MdraqxXxRK1Qmk4RQWzICprrYgSVKjVvYQXQQcANwNfAkgCoN12WOHAOcCXwCeSTqv6OIR518CzAaObmGN/SICjgHW86SZOZciSVLnaWUgeifZxGngr7O2Y7Lbi4GzSecTbQFWk84v2q4cJ4PlOFlP2oukMRrcNhHgI9nhpUwayLEaSZI6U8vGTspx8mD9fhQGq7K25VnT4nKc1KIwmAA8BPyMtEdITXb1mlcDHA48APwr8NE865EkqRO1ZTJJOU4qNPQA1dceKsfJNuC17aihHz06PJ2PPBzWDz9UqxQ3FS5bk2dJkiR1JFeq7mGXP/J/WT08C+B3wOfyrUaSpM5lIOpR92+dy7888pf1wwtrleJQnvVIktTJDEQ96u9XvYnNtSm8ePrtAP+ddz2SJHUyA1EP+t3jC/ns2pcDcPkhn6dWKbpfnCRJe2Ag6kF/+9Bb2cYAwcxbedH0O/MuR5Kkjmcg6jG3PHY0yYYXMoFhPnrwdXmXI0lSVzAQ9ZBaDf7moXcA8O453+dpU1fkXJEkSd3BQNRD/nvD8/nxpqcxrTDIh+eV8y5HkqSuYSDqFY8PcfbKUwB434H/zYJJa3MuSJKk7uG2573gwcfgrrXcxzygxiETDUOSJO0Le4i63eAQ3NUYgAq8b+W7WbH1gNxKkiSp2xiIut3mXRegHmaAZYPzcyhGkqTuZCDqdsO7rrk4wDCLpqzMoRhJkrqTgaibbavB8vU7NQ0wzJIFV7Nw0uqcipIkqfs4qbqbrdgAm7bCxAnwpwdy07rFLJqy0jAkSdI+MhB1q8e2wr1Z79BT9oeZkzlhaGmuJUmS1K0cMutGtVp6ZVkNmDsVDpqWd0WSJHU1A1E3emAjbNgCAwVYtD8UCnlXJElSV3PIrMsUStXDmZAFoCfPhin+L5QkabzsIeoihVK1AFzDthrMmgyH7Jd3SZIk9QS7F7rLO4ATmQAcOcehMklSV4vCYB7wZtLfb28rx8nSKAwmAq8C3gncWY6TD+7m3DuBoxqazi7HyVVjrcVA1GkuOGLXlRaBwtJkPvBxAA6dDdMntbMqSZKaKgqDmcA9wK+BYxoe+n/As4FZwPI9vMR84CTgf7LjTeOpx0DUPT4JzAFuY+GM5+RdjCRJ47QZOAyYDvyxof2ccpysjMLgB7s7MQqD/YCZwB/KcbKuGcUYiLrA1x59IcDrgSHgXRQKv861IEmSdm9GFAazGo4Hy3EyOPJJ5TgZAlZFYXD4iPa92XtqQf3pURgcCNwAnFWOk8fHWLOBKC+Fy9aMOjQ2snHt8H6cuXJx/fCyWqX4m8Jla1pamyRJ43DHiOO/Bz7c5O+xCjgH+DkwFfgv4HfAx8b6ggaiDnfeypN5cGgupB+wj+RcjiRJT+RooLGXZ5feoSYYAr5UjpOHAKIwuAkojucFDUQd7Hsbi/zHuldQYBs1JpxSqxTH3BUoSVKbbCzHyfonftq+i8JgoBwnw8AJQBKFwcuB1cCLqV94NEauQ9ShHts2hVPvPxOAs+Z+k1qleEvOJUmSlJsoDELglwDlOPkGcDnwFdKrzL5FevHRmNlD1KEueugtLN96MIdOWsVHD74O+Nu8S5IkqenKcbIc2GVhvXKcnDDiOAbihuMPAqOuUTQW9hB1oFs3HcW/ri4BcM2CTzNjwJEySZJayUDUYQa3TeTd959FjQm8ff8beeXMX+ddkiRJPc9A1GE++vDruX3wUOYNrOPjh1ybdzmSJPUFA1EnWfs4H3k4BOCqBddwwMQNORckSVJ/cFJ1p1i5EZatYxsDQI1Hh6fnXZEkSX3DQNQJBodg2bqGhgLveeB0XjXzVyyctDqvqtRLdrNpMJfevcuVHZLUjxwy6wSbh3ZpGmaAZYPzcyhGkqT+YyDqBFN37agbYJhFU/ZmfztJkjReBqJOsGV4p8MBhlmy4GqHyyRJahPnEHWCNdnCi3OmctPs81g0ZaVhSJKkNjIQdYJ6IDpoGidMXppvLZIk9SGHzPL2+BA8tjW9P3dqvrVIktSnDER5q/cOzZoMkwbyrUWSpD5lIMrbms3prb1DkiTlxkCUp+FtsG4wvT93Wr61SJLUxwxEeVo7CDVg6gBMd367JEl5MRDlaftw2TQouIOCJEl5MRDlpVbbMaHa+UOSJOWqpeM0URh8AHg/sB9wA3Ay8CHgdODrwFvKcTL6ppO9bsMW2LoNBgowe0re1UiS1Nda1kMUhcGJwD8BbwP+DHgJ8F4gAl4AHAUcE4XBS6MwWNyqOjpWw+rUTHC4TJKkPLWyh2gLcH45Tr4HEIXBncB8YDOwHFgPzAUuAUotrKMzrc4C0QEOl0mSlLeWBaJynNwM3AwQhcGzgBcC5wNTgUeBG4FTgI+U42TVyPOjMJgCTAFmtKrGvBRK1cO2H8wxEEmSlLeWT6qOwmAh6Xyhj5Xj5KflODkVmA5cC2wEgigM7ovC4PQRp15IGpzuaHWNOTgJcHVqSZI6REsDURQGBwLfJe0NuqjhoUOAc4EvAM8knVd08YjTLwFmA0e3ssacpIHoABdjlCSpE7RyUvUM4JvAvaThZ3YUBrOyhy8GziadT7QFWA3sNLO4HCeD5ThZT9qL1DMKpepM4ATAy+0lSeoQrewheh3wPOAvgEeAtUA1e2xxOU5uBW4DHgJ+BnyihbV0kr8AJjN1IkxzdWpJkjpBKydVfx74/G4eq2W324DXtqqGDpUNl011dWo1XeGyNaOu69Wfi31J0t5zpeo2KpSqA8D/ARwukySpgxiI2usFwIHAo8xydWpJkjqFgai9Tspuv+Xq1JIkdQ4DUXvVV+T+eq5VSJKknRiI2qRQqh4O/CkwDHwr32okSVIjA1H71IfL/qdWKa7NtRJJkrQTA1H71AORw2WSJHUYVwZshQuO2GnZl/XD05hU+AJba5PAQCRJUsexh6gNvrPxmHoY+n2tUvx93vVIkqSdGYja4Osbnrf9bp51SJKk0TlkNg57s03CcG0C39zw3PqhgUiSpA5kD1GL3brpKB4Zns3+EzYC3JJ3PZIkaVcGoharD5e9euZt1CrFoZzLkSRJo3DIbBSFUnUhcCRwV61SXDGe16oHopNm/rwJlUmSpFawh2iEQqn6buAe4Ebgnux4TO7ecjC3Dx7KAMO8auZtTatRkiQ1l4GoQdYzdA073pcJwJKsfZ99fX3aO/SS/W5nzsBjTalRkiQ1n4FoZ0ey63syACway4s5XCZJUncwEO3sLmDbiLYasHJfX+jR4enc/NgzAAORJEmdzkDUIJtAvZh0R/q6AnB9oVQ9al9e69sbn80QE3nq5BUcOWWf85QkSWojA9EItUrxs8DhwMuAvwIeAJ4G/LxQqpb29nXq84dOmmXvkCRJnc7L7keR9RStACiUqj8DvgK8GPh6oVT9MPCPtUpx5NDadkO1CXxz43MAh8vUA0ZsVrzdpXcX2lyJJLWMPURPoFYpPgj8OfCprOnDpENos3d3zk82Hc2a4VnMGdjAi6bf0YYqJUnSeBiI9kKtUtxSqxTPAk4GBoG/BH7Gpq2jPr+y4VgAXjPjl0ws7LYjSZIkdQgD0T6oVYqfA44jHU47il+vgkc27/K87ZfbO39IkqSuYCDaR7VK8RfAc4GbGa7B71bD8kehlk2z2DzE7wafxESGeNWMX+VZqiRJ2ksGojGoVYqrgBNZMCNtuG8D/O9q2LoNVqUrUj9/2l3MHtiUX5GSJGmvGYjGqFYpbuUp+8NT56Tv4trH4Rcr4d4NAPxk81P57JpX5FqjJEnaOwai8Zq3HzxrHkyeAEM7rk6uMYHTHjidFVsPyLE4SZK0NwxEzTBjMjxl/12ahxlg2eD89tcjSZL2iYGoWWZO3qVpgGEWuW2HJEkdz0DULFMmwpFzth8OMMySBVezcNLqHIuSJEl7w607mumQ/WDOFG5adQqLpqw0DKlvFC5bM+r2HrXz57q9h6SuYCBqtikTOWHG0ryrkCRJ+8BAJKl13BhWUpdwDpEkSep7BiJJktT3DESSJKnv9f0cIq+OkSRJ9hBJkqS+1/c9RJJSu+0tbXchkpQDe4gkSVLfs4dod1w/RZKkvmEPkSRJ6nv2EEnqTPbSSmoje4gkSVLfMxBJkqS+19IhsygM3ghcAswBrgdOB/4xu/068JZynHhVryRJylXLAlEUBgcA1wJnAj8FvgecB0TAC4AvAMdEYTATOLocJ9e0qhZJnWs86x+50rykZmnlkNnzgQLwuXKc3A58EzgB2AwsB9YDc4ErgKSFdUiSJO1RK4fMDgIeaxgSWwccAdwMPArcCJwCfKQcJ6tGnhyFwRRgCjAjazo4CoOmFzm1eMWo7auHRn9rzgqDP/Fcz/XcDj/3vBeO2nN01j1PXzjqCW2UFK9YMVp7UD0v99r6wVWH3T7q+98Jn43x6JDP1cFt/F5NV6jVWjOFJwqDtwMfL8fJgdnxFcCzy3Hy8igMJgGvA14ODAAnAh8tx8nVDed/GPhQS4qTJEmt8txynNyWdxH7qpU9RI8AM6MwmFCOk23ALKDeE3QIcC7wfuDjpPOKYuDqhvMvyR4DeBowavrtQTOAO4CjgY0515I334ud+X7szPdjB9+Lnfl+7Kyd78fBwK9a/D1aopWB6GfAMHBaFAY3Aa8GPpI9djFwNjAEbAFWk8432q4cJ4PAYHb40xbW2VGiMJiV3V1ZjpP1uRaTM9+Lnfl+7Mz3Ywffi535fuysze/H/S1+/ZZp2aTqcpw8ApwM/A3wE+A7wOeyhxeX4+RW4DbgIdLw9IlW1dJlBoG/Z0cY7Ge+Fzvz/diZ78cOvhc78/3Yme/HXmjZHCJJkqRu4UrVkiSp77m5a06iMDgIuAZ4Jekcqn8cbXHKKAyWAIsbmr5ajpPXt6fK9hltVfNsHln98TnAf5BemXg/cEY5Tm7Ko9ZWi8LgA6QXHOwH3ACcXI6Txxoe/zPgxyNOm1mOk56cPBqFwbeBv2ho+lg5Ts5reLyfPhufA94xovkP5ThZ1PCcnv98RGEwD3gz6XvxtnKcLI3C4FDg88CxwJ3Au8pxUh3l3PeRLhI8iXQax/ndvmPCbt6PY4HPAM8Afk/67+KWUc69Eziqoenscpxc1YayO449RPm5EpgHPJ00CFwdhcGTRnnefOAy0qAwB3h7uwpsl4ZVzf8ReDHwKtI1qhpdCDwJeBbwVeC6KAwmt7POdojC4ETgn4C3AX8GvAR474inzQfuY8dnYk4v/bIbxXzSFe/r/70XjXi8Lz4bmTNo+P8O/AD42ojn9PTnI9vd4B7gjcAxDQ9dATxGGgB+C3x2lHOfkT3vZOAk4CzgNa2tuLVGez+iMJhA+rn4CbAI+A3pz9jRzCd9L+qfl77dNcIeovz8ElhSjpPlURh8E/gUcCDpD7JG84FvleNkXZvra6fGVc1r2fvxUtL3pO544CvlOPljFAafAT4IPAX4Xdurba0tpH+xfg+2//U2crGz+aRXi6xrc215mQ/8cQ//vf3y2aAcJ5uATQBRGDwTOI5de4x6/fOxGTgMmA78saH9eOC95Ti5NwqDzwI/isJgevae1b0UuKscJ98BiMLgx1nbN9pTekuM9n5MB74IXFWOk/ujMLgR+KuRJ0ZhsB8wk7SXcV17yu1cBqKclOPk4w2HpwP/C/x6lKcuAN4bhcHfkf7V855ynPxxlOd1s92taj7yORsbHq+39dQvvXKc3Ey6mjtRGDwLeCFw/oinLQAOj8Lgj8DjwD+U46Tc1kLbJOvpOQD45ygM/p30L97TynGyuuFpffHZGMV5wPXlOLl3RHtPfz7KcTIErIrC4PARD432OTgQuHc3z6k/76CmF9lGo70fWY/gBQBRGEwk7XG/bpTTF9RPicLgQNIh+rPKcfJ4S4vuUAaiNorC4NOk47wApXKc/E8UBu8gHQ44bjfj2H9Luu/b3aQLV36CtHuz1+3NmH5Xj/vvSRQGC4Gvk86XGbkO19eAB4CbgNcDn4vC4AflOFnZ5jLboUY6rHEX6b+D/wQ+TLqO2ROd17OidPuSCHjZKA/30+fjifT1z5HMEtI/Ki4c5bFVwDnAz4GpwH+R/iHxsXYV10mcQ9ReF5OO8R4D/CIKg78CPg28rhwnvx755CzZfx/4/8px8hvShF9sV7FttH1V8+y4cVXzxufs3/A4ozynJ2R/qX2XdL+/kfNlIB1W/UK2afIVwGTSFWh70QDp5/+7WTBM2PXfQN98NhqcA/xmtEmy9Nfno9Fon4OH9/Cc+vN69rMShcHlpFtjvXI3CzIOAV8qx8mPy3FyI2mI7sXfMXvFQNRG5Th5pBwny8txshx4AVAmnTD70ygM9o/CYCpAFAYD2SkzSXuG3p/1GATALldN9IDGVc2PJl3V/AcN7wOkw0hviMLgCNKr7lYAf2h7pS0WhcEM4Juk3fznArOjMJg14r34FHBDNgn/7aTzju5se7HtsQhYEYXBG7P/968Eqv342ajLVh1eTHphRr2tXz8fjW4G3p5dbXYycGt96Kfh/fkhcEQUBqXsKqwXkU5M7zlRGFxA+jkJgfXZ75iJ2WP19+ME0n9fL80mnL+Y3vwds1cMRPn5MDAN+DdgbfZ1QfaPeWUUBk8qx8la4K3Ae0h/oE0gHT7oKXtY1fz6KAzenz3to6S/5H4NvAF4azZ23mteBzyP9DLzR0g/F1V2fi/OJb2a5g7gA6SX2T6QQ60tV46TpcBfk3bh/xpYRtrT2o+fjbrTSP//f7mhrS8/HyOcSzoN5Hbg2cCpAFEYhKQXsdQ/T+8nvZLqW6STjr+dS7WtdwkwG7iVHb9jjhvxfnwDuBz4CvA/pO/JJ3OptgO4UrUkSep79hBJkqS+ZyCSJEl9z0AkSZL6noFIkiT1PQORJEnqewYiSZLU9wxEkiSp7xmIJElS3zMQSZKkvmcgkiRJfc9AJEmS+p6BSJIk9T0DkSRJ6nsGIkmS1PcMRJIkqe8ZiCRJUt/7/wEi2PGaeib3JgAAAABJRU5ErkJggg==);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} 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);} span.association-graph-source::before { content: 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);} span.association-graph-compare::before { content: 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</style> <script> g_height = 17632; g_scale = 0.8; </script> </head> <body> <div class="page-root-vertical"> <!-- TOP HEADER --> <!-- ALL SUMMARY TABS --> <div class="page-column-main" id="col1" style="transform: scale(0.8);transform-origin: 0 0;"> <!-- DF Summary --> <!-- ASSOCIATIONS (VERTICAL ONLY) --> <div class="isHidden container-feature-detail" id="df-assoc-source"Yellow style="display: contents; " > <div class="container-feature-detail__offset" style="position: absolute; top: 137px" > <span class="bg-tab-detail-wide"></span> <span class="text-title-tab pos-text-title-tab__no-icon">Associations</span> <div class="text-med pos-detail-assoc-desc-text" style="font-size: 11px;"> <span class="color-source">[Only including dataset "Train"]</span><br> &#9632; <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>, (i.e. ROW LABEL values indicate how much they PROVIDE INFORMATION to each LABEL at the TOP). <br><br>&#8226; <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity. </div> <span class="association-graph-source pos-detail-assoc-graph"></span> </div> </div> <div class="isHidden container-feature-detail" id="df-assoc-compare"Yellow style="display: contents; " > <div class="container-feature-detail__offset" style="position: absolute; top: 137px" > <span class="bg-tab-detail-wide"></span> <span class="text-title-tab pos-text-title-tab__no-icon">Associations</span> <div class="text-med pos-detail-assoc-desc-text" style="font-size: 11px;"> <span class="color-compare">[Only including dataset "Test"]</span><br> &#9632; <b>Squares</b> are categorical associations (uncertainty coefficient & correlation ratio) from 0 to 1. The uncertainty coefficient is <b>assymmetrical</b>, (i.e. ROW LABEL values indicate how much they PROVIDE INFORMATION to each LABEL at the TOP). <br><br>&#8226; <b>Circles</b> are the symmetrical numerical correlations (Pearson's) from -1 to 1. The <b>trivial diagonal</b> is intentionally left blank for clarity. </div> <span class="association-graph-compare pos-detail-assoc-graph"></span> </div> </div> <!-- ALL SUMMARIES --> <div class="container-feature-summary" id="summary-df" data-detail-div="detail-df"> <div class="pos-dataframe-summary text-label"> <span class="top-header"></span> <div class="pos-dataframe-summary-title-source text-dataframe-title color-source">Train</div> <div class="pos-dataframe-summary-title-compare text-dataframe-title color-compare">Test</div> <div class="pos-dataframe-summary-rows"> <div class="dataframe-summary-row row-colored"> <div class="pos-df-summary-source color-source">1460</div> <div class="pos-df-summary-center">ROWS</div> <div class="pos-df-summary-compare color-compare">1459</div> </div> <div class="dataframe-summary-row"> <div class="pos-df-summary-source color-source">0</div> <div class="pos-df-summary-center">DUPLICATES</div> <div class="pos-df-summary-compare color-compare">0</div> </div> <div class="dataframe-summary-row row-colored"> <div class="pos-df-summary-source color-source">981.2 kb</div> <div class="pos-df-summary-center">RAM</div> <div class="pos-df-summary-compare color-compare">968.8 kb</div> </div> <div class="dataframe-summary-row row"> <div class="pos-df-summary-source color-source"> 106 </div> <div class="pos-df-summary-center">FEATURES</div> <div class="pos-df-summary-compare color-compare"> 105 </div> </div> <div class="dataframe-summary-row row-colored"> <div class="pos-df-summary-source color-source">58</div> <div class="pos-df-summary-center">CATEGORICAL</div> <div class="pos-df-summary-compare color-compare">58</div> </div> <div class="dataframe-summary-row "> <div class="pos-df-summary-source color-source">48</div> <div class="pos-df-summary-center">NUMERICAL</div> <div class="pos-df-summary-compare color-compare">47</div> </div> <div class="dataframe-summary-row row-colored"> <div class="pos-df-summary-source color-source">0</div> <div class="pos-df-summary-center">TEXT</div> <div class="pos-df-summary-compare color-compare">0</div> </div> <button class="button-assoc color-source button-border-source size-df-summary-button pos-df-summary-button-assoc-source" id="button-summary-associations-source" data-detail-div="df-assoc-source">ASSOCIATIONS</button > <button class="button-assoc color-compare button-border-compare size-df-summary-button pos-df-summary-button-assoc-compare" id="button-summary-associations-compare" data-detail-div="df-assoc-compare">ASSOCIATIONS</button > </div> </div> </div> <div class="pos-logo-group"> <div class="pos-logo im-logo"></div> <div class="pos-credits text-credits"> <span class="text-version">2.1.4<br> <a href="https://github.com/fbdesignpro/sweetviz">Get updates, docs & report issues here</a></span><br> Created & maintained by <a href="https://www.fbdesignpro.com">Francois Bertrand</a> <br> Graphic design by <a href="https://www.fbdesignpro.com" data-reach="Jeff is working on his contact info :)">Jean-Francois Hains</a> </div> </div> <div class="page-all-summaries"> <span class="graph-legend" style="left: 391px;position: absolute;top: 5px;"></span> <!-- TARGET Summary --> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary-target" id="summary-target" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f-1" data-rollover-span="rollover-f-1"></div> <div class="selector selector__bottom" data-detail-div="detail-f-1" data-rollover-span="rollover-f-1"></div> <div class="selector selector__top" data-detail-div="detail-f-1" data-rollover-span="rollover-f-1"></div> <span id="summary-target-bg" class="bg-tab-summary-target" style="z-index: -20002"></span> <span class="bg-tab-summary-rollover" id="rollover-f-1" style="z-index: -20001"></span> <span class="text-title-tab color-normal color-target-summary">SalePrice</span> <div class="pos-tab-image ic-numeric-light"></div> <span class="minigraph-target pos-minigraph-numeric"></span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label color-target-summary">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label color-target-summary">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label color-target-summary">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 663 </div> <div class="text-value color-source pos-base-stats__source-perc"> (45%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label color-target-summary">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label color-target-summary" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">13.53</div> </div> <div class="row-numeric-summary "> <div class="text-label color-target-summary" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">12.69</div> </div> <div class="row-numeric-summary "> <div class="text-label color-target-summary" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">12.27</div> </div> <div class="row-numeric-summary "> <div class="text-label color-target-summary" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">12.02</div> </div> <div class="row-numeric-summary "> <div class="text-label color-target-summary" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">12.00</div> </div> <div class="row-numeric-summary "> <div class="text-label color-target-summary" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">11.78</div> </div> <div class="row-numeric-summary "> <div class="text-label color-target-summary" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">11.39</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label color-target-summary" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">10.46</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label color-target-summary" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">3.07</div> </div> <div class="row-numeric-summary"> <div class="text-label color-target-summary" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.499</div> </div> <div class="row-numeric-summary"> <div class="text-label color-target-summary" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">0.399</div> </div> <div class="row-numeric-summary"> <div class="text-label color-target-summary" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">0.160</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label color-target-summary" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">0.810</div> </div> <div class="row-numeric-summary"> <div class="text-label color-target-summary" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">0.121</div> </div> <div class="row-numeric-summary"> <div class="text-label color-target-summary" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">17,555</div> </div> </div> <!-- <div class="text-label color-normal pos-detail-num__top pos-detail-num-col1__labels"> MAX<br> 95%<br> Q3<br> MEAN<br> MEDIAN<br> Q1<br> 5%<br> MIN<br> </div> <div class="text-value color-source pos-detail-num__top pos-detail-num-col1__source"> 13.53<br> 12.69<br> 12.27<br> 12.02<br> 12.00<br> 11.78<br> 11.39<br> 10.46<br> </div> <div class="text-label color-normal pos-detail-num__top pos-detail-num-col2__labels"> RANGE<br> IQR<br> STD<br> VAR<br> <br> KURTOSIS<br> SKEWNESS<br> SUM<br> </div> <div class="text-value color-source pos-detail-num__top pos-detail-num-col2__source"> 3.07<br> 0.499<br> 0.399<br> 0.160<br> <br> 0.810<br> 0.121<br> 17,555<br> </div> --> <span class="minigraph-f-1 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f-1" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f-1" data-new_class="detail_graph-f-1-0">Auto </button> <button class="button-bin" data-target="detail_graph-f-1" data-new_class="detail_graph-f-1-5">5 </button> <button class="button-bin" data-target="detail_graph-f-1" data-new_class="detail_graph-f-1-15">15 </button> <button class="button-bin" data-target="detail_graph-f-1" data-new_class="detail_graph-f-1-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f-1-0 pos-detail-num-graph" id="detail_graph-f-1"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f-1"> <span class="bg-extra-column" style="height: 588px" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">SalePrice</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.77</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.82</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.75</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.68</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.84939770159144</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.813030057420567</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.951180395901384</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.884489021402711</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.154779351142624</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.608235644774552</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.652687407345388</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.982929094215963</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.77528972943772</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.842229212112828</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.877568578558138</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.128111104060462</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.100712129872347</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.870599909242044</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.736069016284437</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.460242108190519</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.47194980911048</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.542706391070517</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.578979797857352</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.596634733096073</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.858998997563564</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.868568448579715</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.915088464214607</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.932981961904135</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.976782033219948</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.002099841204238</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.018629143155449</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.041048081342682</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.074420502783864</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.104957226643945</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.534473028231162</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.521139497361697</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.345506928718539</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.323926946863102</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.275827535915461</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.229567991666638</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.226723392728571</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.195613839143922</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.1260306447518</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.091904169919621</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.071070083016778</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.053013299269535</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.049792684569493</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.021326833226556</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.008659261632127</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> </div> </div> </div> <!-- FEATURE Summaries --> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f0" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div> <div class="selector selector__bottom" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div> <div class="selector selector__top" data-detail-div="detail-f0" data-rollover-span="rollover-f0"></div> <span class="bg-tab-summary" style="z-index: -20000"></span> <span class="bg-tab-summary-rollover" id="rollover-f0" style="z-index: -19999"></span> <div class="summary-number" > 1 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Id</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">1,460</div> <div class="pos-summary-numeric-compare text-value color-compare">2,919</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1,387</div> <div class="pos-summary-numeric-compare text-value color-compare">2,846</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">1,095</div> <div class="pos-summary-numeric-compare text-value color-compare">2,554</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">730</div> <div class="pos-summary-numeric-compare text-value color-compare">2,190</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">730</div> <div class="pos-summary-numeric-compare text-value color-compare">2,190</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">366</div> <div class="pos-summary-numeric-compare text-value color-compare">1,826</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">74</div> <div class="pos-summary-numeric-compare text-value color-compare">1,534</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1</div> <div class="pos-summary-numeric-compare text-value color-compare">1,461</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">1,459</div> <div class="pos-summary-numeric-compare text-value color-compare">1,458</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">730</div> <div class="pos-summary-numeric-compare text-value color-compare">729</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">422</div> <div class="pos-summary-numeric-compare text-value color-compare">421</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">178k</div> <div class="pos-summary-numeric-compare text-value color-compare">178k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">-1.20</div> <div class="pos-summary-numeric-compare text-value color-compare">-1.20</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">1.1M</div> <div class="pos-summary-numeric-compare text-value color-compare">3.2M</div> </div> </div> <span class="minigraph-f0 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f0" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f0" data-new_class="detail_graph-f0-0">Auto </button> <button class="button-bin" data-target="detail_graph-f0" data-new_class="detail_graph-f0-5">5 </button> <button class="button-bin" data-target="detail_graph-f0" data-new_class="detail_graph-f0-15">15 </button> <button class="button-bin" data-target="detail_graph-f0" data-new_class="detail_graph-f0-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f0-0 pos-detail-num-graph" id="detail_graph-f0"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f0"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Id</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-red">-0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-red">-0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">3SsnPorch</div> <div class="pos-assoc-row__source text-label color-red">-0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LowQualFinSF</div> <div class="pos-assoc-row__source text-label color-red">-0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-red">-0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-red">-0.02</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Electrical</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Heating</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolQC</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">982.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">980.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">979.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">978.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">977.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">976.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">975.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">974.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">973.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">972.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">971.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">970.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">969.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">968.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1460.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1459.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1458.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1457.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1456.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1455.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1454.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1453.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1452.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1451.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1450.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1449.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1448.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1447.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1446.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f1" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div> <div class="selector selector__bottom" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div> <div class="selector selector__top" data-detail-div="detail-f1" data-rollover-span="rollover-f1"></div> <span class="bg-tab-summary" style="z-index: -19998"></span> <span class="bg-tab-summary-rollover" id="rollover-f1" style="z-index: -19997"></span> <div class="summary-number" > 2 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">MSSubClass</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 16 </div> <div class="text-value color-source pos-base-stats__source-perc"> (1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 16 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (1%) </div> </div> </div> <span class="minigraph-f1 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f1"> <div class="container-feature-detail__offset"> <span class="detail_graph-f1- pos-detail-cat-graph" id="detail_graph-f1" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f1" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 217px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 298px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1-STORY 1946 & NEWER ALL STYLES</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">536</div> <div class="pair-pos__perc">37%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">543</div> <div class="pair-pos__perc">37%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2-STORY 1946 & NEWER</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">299</div> <div class="pair-pos__perc">20%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">276</div> <div class="pair-pos__perc">19%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1-1/2 STORY FINISHED ALL AGES</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">144</div> <div class="pair-pos__perc">10%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">143</div> <div class="pair-pos__perc">10%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1-STORY PUD (Planned Unit Development) - 1946 & NEWER</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">87</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">95</div> <div class="pair-pos__perc">7%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1-STORY 1945 & OLDER</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">69</div> <div class="pair-pos__perc">5%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">70</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.4 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2-STORY PUD - 1946 & NEWER</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">63</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">65</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2-STORY 1945 & OLDER</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">60</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">68</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">SPLIT OR MULTI-LEVEL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">58</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">60</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">DUPLEX - ALL STYLES AND AGES</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">52</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">57</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2 FAMILY CONVERSION - ALL STYLES AND AGES</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">30</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">31</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">SPLIT FOYER</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">28</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2-1/2 STORY ALL AGES</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">16</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1-1/2 STORY - UNFINISHED ALL AGES</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">12</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PUD - MULTILEVEL - INCL SPLIT LEV/FOYER</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1-STORY W/FINISHED ATTIC ALL AGES</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1-1/2 STORY PUD - ALL AGES</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 217px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 217px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 298px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 394px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-1"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f1"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f1"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">MSSubClass<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.90</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.72</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON MSSubClass:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">MSSubClass<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.96</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.94</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.90</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_TwnhsE</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.81</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Twnhs</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f2" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div> <div class="selector selector__bottom" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div> <div class="selector selector__top" data-detail-div="detail-f2" data-rollover-span="rollover-f2"></div> <span class="bg-tab-summary" style="z-index: -19996"></span> <span class="bg-tab-summary-rollover" id="rollover-f2" style="z-index: -19995"></span> <div class="summary-number" > 3 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Alley</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 3 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 3 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f2 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f2"> <div class="container-feature-detail__offset"> <span class="detail_graph-f2- pos-detail-cat-graph" id="detail_graph-f2" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f2" style="top: 264.0px;"> <!-- height: 646.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 54px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 135px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">NA</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,369</div> <div class="pair-pos__perc">94%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,352</div> <div class="pair-pos__perc">93%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Grvl</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">50</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">70</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Pave</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-2"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f2"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f2"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Alley<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Alley:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PavedDrive</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Alley<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_TwnhsE</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f3" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div> <div class="selector selector__bottom" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div> <div class="selector selector__top" data-detail-div="detail-f3" data-rollover-span="rollover-f3"></div> <span class="bg-tab-summary" style="z-index: -19994"></span> <span class="bg-tab-summary-rollover" id="rollover-f3" style="z-index: -19993"></span> <div class="summary-number" > 4 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">HouseStyle</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 8 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 8 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f3 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f3"> <div class="container-feature-detail__offset"> <span class="detail_graph-f3- pos-detail-cat-graph" id="detail_graph-f3" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f3" style="top: 564.0px;"> <!-- height: 346.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 66px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 147px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1Story</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">726</div> <div class="pair-pos__perc">50%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">745</div> <div class="pair-pos__perc">51%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2Story</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">445</div> <div class="pair-pos__perc">30%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">427</div> <div class="pair-pos__perc">29%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.5Fin</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">154</div> <div class="pair-pos__perc">11%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">160</div> <div class="pair-pos__perc">11%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">SLvl</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">65</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">63</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">SFoyer</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">46</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.5Unf</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">14</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2.5Unf</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">11</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">13</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2.5Fin</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">8</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-3"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f3"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f3"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">HouseStyle<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON HouseStyle:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.90</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">HouseStyle<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LowQualFinSF</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f4" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div> <div class="selector selector__bottom" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div> <div class="selector selector__top" data-detail-div="detail-f4" data-rollover-span="rollover-f4"></div> <span class="bg-tab-summary" style="z-index: -19992"></span> <span class="bg-tab-summary-rollover" id="rollover-f4" style="z-index: -19991"></span> <div class="summary-number" > 5 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Utilities</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 2 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 2 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f4 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f4"> <div class="container-feature-detail__offset"> <span class="detail_graph-f4- pos-detail-cat-graph" id="detail_graph-f4" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f4" style="top: 204.0px;"> <!-- height: 706.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 66px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 147px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">AllPub</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">>99%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">NoSeWa</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-4"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f4"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f4"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Utilities<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtHalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotConfig<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HouseStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HeatingQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LotShape<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MasVnrType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FireplaceQu<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Utilities:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtHalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Electrical</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotConfig</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Utilities<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ScreenPorch</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MoSold</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinSF2</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f5" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div> <div class="selector selector__bottom" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div> <div class="selector selector__top" data-detail-div="detail-f5" data-rollover-span="rollover-f5"></div> <span class="bg-tab-summary" style="z-index: -19990"></span> <span class="bg-tab-summary-rollover" id="rollover-f5" style="z-index: -19989"></span> <div class="summary-number" > 6 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BldgType</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f5 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f5"> <div class="container-feature-detail__offset"> <span class="detail_graph-f5- pos-detail-cat-graph" id="detail_graph-f5" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f5" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 66px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 147px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1Fam</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,220</div> <div class="pair-pos__perc">84%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,205</div> <div class="pair-pos__perc">83%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">TwnhsE</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">114</div> <div class="pair-pos__perc">8%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">113</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Duplex</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">52</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">57</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Twnhs</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">43</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">53</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2fmCon</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">31</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">31</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-5"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f5"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f5"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BldgType<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BldgType:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BldgType<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_TwnhsE</div> <div class="pos-assoc-row__source text-label color-source">0.97</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Twnhs</div> <div class="pos-assoc-row__source text-label color-source">0.97</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.96</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.94</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.75</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f6" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div> <div class="selector selector__bottom" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div> <div class="selector selector__top" data-detail-div="detail-f6" data-rollover-span="rollover-f6"></div> <span class="bg-tab-summary" style="z-index: -19988"></span> <span class="bg-tab-summary-rollover" id="rollover-f6" style="z-index: -19987"></span> <div class="summary-number" > 7 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">RoofStyle</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 6 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 6 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f6 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f6"> <div class="container-feature-detail__offset"> <span class="detail_graph-f6- pos-detail-cat-graph" id="detail_graph-f6" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f6" style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Gable</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,141</div> <div class="pair-pos__perc">78%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,169</div> <div class="pair-pos__perc">80%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Hip</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">286</div> <div class="pair-pos__perc">20%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">265</div> <div class="pair-pos__perc">18%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Flat</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">13</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Gambrel</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">11</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">11</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Mansard</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Shed</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-6"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f6"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f6"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">RoofStyle<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HouseStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MasVnrType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON RoofStyle:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">RoofStyle<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MiscVal</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f7" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div> <div class="selector selector__bottom" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div> <div class="selector selector__top" data-detail-div="detail-f7" data-rollover-span="rollover-f7"></div> <span class="bg-tab-summary" style="z-index: -19986"></span> <span class="bg-tab-summary-rollover" id="rollover-f7" style="z-index: -19985"></span> <div class="summary-number" > 8 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">RoofMatl</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 8 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 8 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f7 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f7"> <div class="container-feature-detail__offset"> <span class="detail_graph-f7- pos-detail-cat-graph" id="detail_graph-f7" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f7" style="top: 564.0px;"> <!-- height: 346.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CompShg</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,434</div> <div class="pair-pos__perc">98%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,442</div> <div class="pair-pos__perc">99%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Tar&Grv</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">11</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">12</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">WdShngl</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">WdShake</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ClyTile</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Membran</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Metal</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Roll</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-7"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f7"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f7"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">RoofMatl<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LandContour<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtHalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Fireplaces<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON RoofMatl:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandContour</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition1</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">RoofMatl<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f8" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div> <div class="selector selector__bottom" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div> <div class="selector selector__top" data-detail-div="detail-f8" data-rollover-span="rollover-f8"></div> <span class="bg-tab-summary" style="z-index: -19984"></span> <span class="bg-tab-summary-rollover" id="rollover-f8" style="z-index: -19983"></span> <div class="summary-number" > 9 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Exterior1st</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 15 </div> <div class="text-value color-source pos-base-stats__source-perc"> (1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 15 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (1%) </div> </div> </div> <span class="minigraph-f8 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f8"> <div class="container-feature-detail__offset"> <span class="detail_graph-f8- pos-detail-cat-graph" id="detail_graph-f8" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f8" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">VinylSd</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">515</div> <div class="pair-pos__perc">35%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">511</div> <div class="pair-pos__perc">35%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">HdBoard</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">222</div> <div class="pair-pos__perc">15%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">220</div> <div class="pair-pos__perc">15%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">MetalSd</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">220</div> <div class="pair-pos__perc">15%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">230</div> <div class="pair-pos__perc">16%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Wd Sdng</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">206</div> <div class="pair-pos__perc">14%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">205</div> <div class="pair-pos__perc">14%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Plywood</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">108</div> <div class="pair-pos__perc">7%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">113</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CemntBd</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">61</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">65</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BrkFace</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">50</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">WdShing</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">26</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">30</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Stucco</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">25</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">18</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">AsbShng</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">24</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BrkComm</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Stone</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">AsphShn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CBlock</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ImStucc</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-8"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f8"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f8"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Exterior1st<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.80</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Exterior1st:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.82</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Exterior1st<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f9" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div> <div class="selector selector__bottom" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div> <div class="selector selector__top" data-detail-div="detail-f9" data-rollover-span="rollover-f9"></div> <span class="bg-tab-summary" style="z-index: -19982"></span> <span class="bg-tab-summary-rollover" id="rollover-f9" style="z-index: -19981"></span> <div class="summary-number" > 10 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Exterior2nd</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 16 </div> <div class="text-value color-source pos-base-stats__source-perc"> (1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 16 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (1%) </div> </div> </div> <span class="minigraph-f9 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f9"> <div class="container-feature-detail__offset"> <span class="detail_graph-f9- pos-detail-cat-graph" id="detail_graph-f9" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f9" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">VinylSd</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">504</div> <div class="pair-pos__perc">35%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">511</div> <div class="pair-pos__perc">35%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">MetalSd</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">214</div> <div class="pair-pos__perc">15%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">233</div> <div class="pair-pos__perc">16%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">HdBoard</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">207</div> <div class="pair-pos__perc">14%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">199</div> <div class="pair-pos__perc">14%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Wd Sdng</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">197</div> <div class="pair-pos__perc">13%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">194</div> <div class="pair-pos__perc">13%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Plywood</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">142</div> <div class="pair-pos__perc">10%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">128</div> <div class="pair-pos__perc">9%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CmentBd</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">60</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">66</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Wd Shng</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">38</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">43</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Stucco</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">26</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">21</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BrkFace</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">25</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">22</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">AsbShng</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">18</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ImStucc</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Brk Cmn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">15</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Stone</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">AsphShn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CBlock</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Other</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.7 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-9"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f9"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f9"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Exterior2nd<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.82</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Exterior2nd:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.80</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Exterior2nd<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f10" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div> <div class="selector selector__bottom" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div> <div class="selector selector__top" data-detail-div="detail-f10" data-rollover-span="rollover-f10"></div> <span class="bg-tab-summary" style="z-index: -19980"></span> <span class="bg-tab-summary-rollover" id="rollover-f10" style="z-index: -19979"></span> <div class="summary-number" > 11 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">MasVnrType</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 4 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f10 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f10"> <div class="container-feature-detail__offset"> <span class="detail_graph-f10- pos-detail-cat-graph" id="detail_graph-f10" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f10" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">None</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">872</div> <div class="pair-pos__perc">60%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">894</div> <div class="pair-pos__perc">61%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BrkFace</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">445</div> <div class="pair-pos__perc">30%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">434</div> <div class="pair-pos__perc">30%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Stone</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">128</div> <div class="pair-pos__perc">9%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">121</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BrkCmn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">15</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-10"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f10"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f10"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">MasVnrType<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON MasVnrType:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">MasVnrType<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f11" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div> <div class="selector selector__bottom" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div> <div class="selector selector__top" data-detail-div="detail-f11" data-rollover-span="rollover-f11"></div> <span class="bg-tab-summary" style="z-index: -19978"></span> <span class="bg-tab-summary-rollover" id="rollover-f11" style="z-index: -19977"></span> <div class="summary-number" > 12 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Foundation</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 6 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 6 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f11 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f11"> <div class="container-feature-detail__offset"> <span class="detail_graph-f11- pos-detail-cat-graph" id="detail_graph-f11" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f11" style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 66px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 147px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PConc</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">647</div> <div class="pair-pos__perc">44%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">661</div> <div class="pair-pos__perc">45%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CBlock</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">634</div> <div class="pair-pos__perc">43%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">601</div> <div class="pair-pos__perc">41%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BrkTil</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">146</div> <div class="pair-pos__perc">10%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">165</div> <div class="pair-pos__perc">11%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Slab</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">24</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">25</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Stone</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Wood</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-11"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f11"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f11"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Foundation<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Foundation:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Foundation<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.68</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f12" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div> <div class="selector selector__bottom" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div> <div class="selector selector__top" data-detail-div="detail-f12" data-rollover-span="rollover-f12"></div> <span class="bg-tab-summary" style="z-index: -19976"></span> <span class="bg-tab-summary-rollover" id="rollover-f12" style="z-index: -19975"></span> <div class="summary-number" > 13 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Heating</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 6 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 6 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f12 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f12"> <div class="container-feature-detail__offset"> <span class="detail_graph-f12- pos-detail-cat-graph" id="detail_graph-f12" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f12" style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 60px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 141px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">GasA</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,428</div> <div class="pair-pos__perc">98%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,446</div> <div class="pair-pos__perc">>99%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">GasW</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">18</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">9</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Grav</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Wall</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">OthW</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Floor</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.2 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-12"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f12"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f12"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Heating<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HeatingQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Heating:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Heating<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f13" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div> <div class="selector selector__bottom" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div> <div class="selector selector__top" data-detail-div="detail-f13" data-rollover-span="rollover-f13"></div> <span class="bg-tab-summary" style="z-index: -19974"></span> <span class="bg-tab-summary-rollover" id="rollover-f13" style="z-index: -19973"></span> <div class="summary-number" > 14 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Electrical</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f13 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f13"> <div class="container-feature-detail__offset"> <span class="detail_graph-f13- pos-detail-cat-graph" id="detail_graph-f13" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f13" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 60px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 141px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">SBrkr</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,335</div> <div class="pair-pos__perc">91%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,337</div> <div class="pair-pos__perc">92%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">FuseA</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">94</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">94</div> <div class="pair-pos__perc">6%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">FuseF</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">27</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">23</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">FuseP</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Mix</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.1 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-13"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f13"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f13"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Electrical<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Electrical:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Electrical<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f14" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div> <div class="selector selector__bottom" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div> <div class="selector selector__top" data-detail-div="detail-f14" data-rollover-span="rollover-f14"></div> <span class="bg-tab-summary" style="z-index: -19972"></span> <span class="bg-tab-summary-rollover" id="rollover-f14" style="z-index: -19971"></span> <div class="summary-number" > 15 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Functional</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 7 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 7 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f14 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f14"> <div class="container-feature-detail__offset"> <span class="detail_graph-f14- pos-detail-cat-graph" id="detail_graph-f14" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f14" style="top: 504.0px;"> <!-- height: 406.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 54px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 135px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Typ</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,360</div> <div class="pair-pos__perc">93%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,359</div> <div class="pair-pos__perc">93%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Min2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">34</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">36</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Min1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">31</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">34</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Mod</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">15</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Maj1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">14</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Maj2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.3 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Sev</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-14"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f14"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f14"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Functional<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Functional:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Functional<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF2</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Twnhs</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LowQualFinSF</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f15" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div> <div class="selector selector__bottom" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div> <div class="selector selector__top" data-detail-div="detail-f15" data-rollover-span="rollover-f15"></div> <span class="bg-tab-summary" style="z-index: -19970"></span> <span class="bg-tab-summary-rollover" id="rollover-f15" style="z-index: -19969"></span> <div class="summary-number" > 16 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">GarageType</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 7 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 7 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f15 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f15"> <div class="container-feature-detail__offset"> <span class="detail_graph-f15- pos-detail-cat-graph" id="detail_graph-f15" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f15" style="top: 504.0px;"> <!-- height: 406.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Attchd</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">870</div> <div class="pair-pos__perc">60%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">853</div> <div class="pair-pos__perc">58%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Detchd</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">387</div> <div class="pair-pos__perc">27%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">392</div> <div class="pair-pos__perc">27%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BuiltIn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">88</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">98</div> <div class="pair-pos__perc">7%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">NA</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">81</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">76</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Basment</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">19</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">17</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CarPort</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">9</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2Types</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">17</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-15"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f15"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f15"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageType<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON GarageType:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageType<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f16" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div> <div class="selector selector__bottom" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div> <div class="selector selector__top" data-detail-div="detail-f16" data-rollover-span="rollover-f16"></div> <span class="bg-tab-summary" style="z-index: -19968"></span> <span class="bg-tab-summary-rollover" id="rollover-f16" style="z-index: -19967"></span> <div class="summary-number" > 17 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">MiscFeature</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f16 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f16"> <div class="container-feature-detail__offset"> <span class="detail_graph-f16- pos-detail-cat-graph" id="detail_graph-f16" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f16" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 54px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 135px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">None</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,406</div> <div class="pair-pos__perc">96%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,408</div> <div class="pair-pos__perc">97%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Shed</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">49</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">46</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Gar2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Othr</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">TenC</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-16"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f16"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f16"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">MiscFeature<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Fence<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON MiscFeature:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Fence</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">MiscFeature<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MiscVal</div> <div class="pos-assoc-row__source text-label color-source">0.94</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ScreenPorch</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row-target row-colored" > <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f17" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div> <div class="selector selector__bottom" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div> <div class="selector selector__top" data-detail-div="detail-f17" data-rollover-span="rollover-f17"></div> <span class="bg-tab-summary" style="z-index: -19966"></span> <span class="bg-tab-summary-rollover" id="rollover-f17" style="z-index: -19965"></span> <div class="summary-number" > 18 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">SaleType</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 9 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 9 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f17 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f17"> <div class="container-feature-detail__offset"> <span class="detail_graph-f17- pos-detail-cat-graph" id="detail_graph-f17" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f17" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 60px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 141px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">WD</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,267</div> <div class="pair-pos__perc">87%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,259</div> <div class="pair-pos__perc">86%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">New</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">122</div> <div class="pair-pos__perc">8%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">117</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">COD</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">43</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">44</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ConLD</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">9</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">17</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ConLI</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ConLw</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CWD</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">8</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Oth</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Con</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-17"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f17"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f17"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">SaleType<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HeatingQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON SaleType:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">SaleType<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f18" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div> <div class="selector selector__bottom" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div> <div class="selector selector__top" data-detail-div="detail-f18" data-rollover-span="rollover-f18"></div> <span class="bg-tab-summary" style="z-index: -19964"></span> <span class="bg-tab-summary-rollover" id="rollover-f18" style="z-index: -19963"></span> <div class="summary-number" > 19 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">SaleCondition</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 6 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 6 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f18 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f18"> <div class="container-feature-detail__offset"> <span class="detail_graph-f18- pos-detail-cat-graph" id="detail_graph-f18" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f18" style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Normal</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,198</div> <div class="pair-pos__perc">82%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,204</div> <div class="pair-pos__perc">83%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Partial</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">125</div> <div class="pair-pos__perc">9%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">120</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Abnorml</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">101</div> <div class="pair-pos__perc">7%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">89</div> <div class="pair-pos__perc">6%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Family</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">26</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Alloca</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">12</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">12</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">AdjLand</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">8</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-18"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f18"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f18"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">SaleCondition<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HeatingQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON SaleCondition:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">SaleCondition<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f19" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div> <div class="selector selector__bottom" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div> <div class="selector selector__top" data-detail-div="detail-f19" data-rollover-span="rollover-f19"></div> <span class="bg-tab-summary" style="z-index: -19962"></span> <span class="bg-tab-summary-rollover" id="rollover-f19" style="z-index: -19961"></span> <div class="summary-number" > 20 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">OverallQual</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 10 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 10 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f19 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f19"> <div class="container-feature-detail__offset"> <span class="detail_graph-f19- pos-detail-cat-graph" id="detail_graph-f19" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f19" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">397</div> <div class="pair-pos__perc">27%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">428</div> <div class="pair-pos__perc">29%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.6</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">374</div> <div class="pair-pos__perc">26%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">357</div> <div class="pair-pos__perc">24%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">319</div> <div class="pair-pos__perc">22%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">281</div> <div class="pair-pos__perc">19%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.8</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">168</div> <div class="pair-pos__perc">12%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">174</div> <div class="pair-pos__perc">12%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">116</div> <div class="pair-pos__perc">8%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">110</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">43</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">64</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">18</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">13</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 10.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 10.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-19"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f19"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f19"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">OverallQual<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON OverallQual:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">OverallQual<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.82</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f20" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div> <div class="selector selector__bottom" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div> <div class="selector selector__top" data-detail-div="detail-f20" data-rollover-span="rollover-f20"></div> <span class="bg-tab-summary" style="z-index: -19960"></span> <span class="bg-tab-summary-rollover" id="rollover-f20" style="z-index: -19959"></span> <div class="summary-number" > 21 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">OverallCond</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 9 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 9 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f20 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f20"> <div class="container-feature-detail__offset"> <span class="detail_graph-f20- pos-detail-cat-graph" id="detail_graph-f20" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f20" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">821</div> <div class="pair-pos__perc">56%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">824</div> <div class="pair-pos__perc">56%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.6</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">252</div> <div class="pair-pos__perc">17%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">279</div> <div class="pair-pos__perc">19%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">205</div> <div class="pair-pos__perc">14%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">185</div> <div class="pair-pos__perc">13%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.8</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">72</div> <div class="pair-pos__perc">5%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">72</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">57</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">44</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">25</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">25</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">22</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">19</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.0 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-20"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f20"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f20"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">OverallCond<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON OverallCond:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterCond</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">OverallCond<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f21" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div> <div class="selector selector__bottom" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div> <div class="selector selector__top" data-detail-div="detail-f21" data-rollover-span="rollover-f21"></div> <span class="bg-tab-summary" style="z-index: -19958"></span> <span class="bg-tab-summary-rollover" id="rollover-f21" style="z-index: -19957"></span> <div class="summary-number" > 22 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">LotShape</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 4 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f21 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f21"> <div class="container-feature-detail__offset"> <span class="detail_graph-f21- pos-detail-cat-graph" id="detail_graph-f21" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f21" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">925</div> <div class="pair-pos__perc">63%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">934</div> <div class="pair-pos__perc">64%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">484</div> <div class="pair-pos__perc">33%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">484</div> <div class="pair-pos__perc">33%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">35</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-21"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f21"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f21"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">LotShape<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotConfig<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LandContour<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON LotShape:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LotConfig</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">LotShape<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f22" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f22" data-rollover-span="rollover-f22"></div> <div class="selector selector__bottom" data-detail-div="detail-f22" data-rollover-span="rollover-f22"></div> <div class="selector selector__top" data-detail-div="detail-f22" data-rollover-span="rollover-f22"></div> <span class="bg-tab-summary" style="z-index: -19956"></span> <span class="bg-tab-summary-rollover" id="rollover-f22" style="z-index: -19955"></span> <div class="summary-number" > 23 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">LandContour</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 4 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f22 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f22"> <div class="container-feature-detail__offset"> <span class="detail_graph-f22- pos-detail-cat-graph" id="detail_graph-f22" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f22" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 54px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 135px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,311</div> <div class="pair-pos__perc">90%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,311</div> <div class="pair-pos__perc">90%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">63</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">54</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">50</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">70</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">-1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">36</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">24</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-22"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f22"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f22"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">LandContour<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotShape<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON LandContour:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">LandContour<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f23" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f23" data-rollover-span="rollover-f23"></div> <div class="selector selector__bottom" data-detail-div="detail-f23" data-rollover-span="rollover-f23"></div> <div class="selector selector__top" data-detail-div="detail-f23" data-rollover-span="rollover-f23"></div> <span class="bg-tab-summary" style="z-index: -19954"></span> <span class="bg-tab-summary-rollover" id="rollover-f23" style="z-index: -19953"></span> <div class="summary-number" > 24 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">LandSlope</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 3 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 3 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f23 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f23"> <div class="container-feature-detail__offset"> <span class="detail_graph-f23- pos-detail-cat-graph" id="detail_graph-f23" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f23" style="top: 264.0px;"> <!-- height: 646.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,382</div> <div class="pair-pos__perc">95%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,396</div> <div class="pair-pos__perc">96%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">65</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">60</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">13</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-23"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f23"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f23"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">LandSlope<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandContour<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Fireplaces<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotShape<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON LandSlope:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandContour</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">LandSlope<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f24" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f24" data-rollover-span="rollover-f24"></div> <div class="selector selector__bottom" data-detail-div="detail-f24" data-rollover-span="rollover-f24"></div> <div class="selector selector__top" data-detail-div="detail-f24" data-rollover-span="rollover-f24"></div> <span class="bg-tab-summary" style="z-index: -19952"></span> <span class="bg-tab-summary-rollover" id="rollover-f24" style="z-index: -19951"></span> <div class="summary-number" > 25 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">ExterQual</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 4 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f24 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f24"> <div class="container-feature-detail__offset"> <span class="detail_graph-f24- pos-detail-cat-graph" id="detail_graph-f24" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f24" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">906</div> <div class="pair-pos__perc">62%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">892</div> <div class="pair-pos__perc">61%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">488</div> <div class="pair-pos__perc">33%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">491</div> <div class="pair-pos__perc">34%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">52</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">55</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">14</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">21</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.3 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-24"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f24"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f24"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">ExterQual<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON ExterQual:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">ExterQual<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.68</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f25" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f25" data-rollover-span="rollover-f25"></div> <div class="selector selector__bottom" data-detail-div="detail-f25" data-rollover-span="rollover-f25"></div> <div class="selector selector__top" data-detail-div="detail-f25" data-rollover-span="rollover-f25"></div> <span class="bg-tab-summary" style="z-index: -19950"></span> <span class="bg-tab-summary-rollover" id="rollover-f25" style="z-index: -19949"></span> <div class="summary-number" > 26 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">ExterCond</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f25 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f25"> <div class="container-feature-detail__offset"> <span class="detail_graph-f25- pos-detail-cat-graph" id="detail_graph-f25" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f25" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,282</div> <div class="pair-pos__perc">88%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,256</div> <div class="pair-pos__perc">86%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">146</div> <div class="pair-pos__perc">10%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">153</div> <div class="pair-pos__perc">10%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">28</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">39</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">9</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.2 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-25"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f25"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f25"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">ExterCond<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON ExterCond:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">ExterCond<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LowQualFinSF</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f26" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f26" data-rollover-span="rollover-f26"></div> <div class="selector selector__bottom" data-detail-div="detail-f26" data-rollover-span="rollover-f26"></div> <div class="selector selector__top" data-detail-div="detail-f26" data-rollover-span="rollover-f26"></div> <span class="bg-tab-summary" style="z-index: -19948"></span> <span class="bg-tab-summary-rollover" id="rollover-f26" style="z-index: -19947"></span> <div class="summary-number" > 27 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BsmtQual</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f26 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f26"> <div class="container-feature-detail__offset"> <span class="detail_graph-f26- pos-detail-cat-graph" id="detail_graph-f26" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f26" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">649</div> <div class="pair-pos__perc">44%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">637</div> <div class="pair-pos__perc">44%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">618</div> <div class="pair-pos__perc">42%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">591</div> <div class="pair-pos__perc">41%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">121</div> <div class="pair-pos__perc">8%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">137</div> <div class="pair-pos__perc">9%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">35</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">53</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-26"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f26"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f26"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtQual<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BsmtQual:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtQual<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.75</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.68</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f27" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f27" data-rollover-span="rollover-f27"></div> <div class="selector selector__bottom" data-detail-div="detail-f27" data-rollover-span="rollover-f27"></div> <div class="selector selector__top" data-detail-div="detail-f27" data-rollover-span="rollover-f27"></div> <span class="bg-tab-summary" style="z-index: -19946"></span> <span class="bg-tab-summary-rollover" id="rollover-f27" style="z-index: -19945"></span> <div class="summary-number" > 28 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BsmtCond</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f27 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f27"> <div class="container-feature-detail__offset"> <span class="detail_graph-f27- pos-detail-cat-graph" id="detail_graph-f27" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f27" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,311</div> <div class="pair-pos__perc">90%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,299</div> <div class="pair-pos__perc">89%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">65</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">57</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">45</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">59</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.1 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-27"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f27"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f27"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtCond<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BsmtCond:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterCond</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">CentralAir</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtCond<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f28" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f28" data-rollover-span="rollover-f28"></div> <div class="selector selector__bottom" data-detail-div="detail-f28" data-rollover-span="rollover-f28"></div> <div class="selector selector__top" data-detail-div="detail-f28" data-rollover-span="rollover-f28"></div> <span class="bg-tab-summary" style="z-index: -19944"></span> <span class="bg-tab-summary-rollover" id="rollover-f28" style="z-index: -19943"></span> <div class="summary-number" > 29 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BsmtExposure</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f28 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f28"> <div class="container-feature-detail__offset"> <span class="detail_graph-f28- pos-detail-cat-graph" id="detail_graph-f28" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f28" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 54px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 135px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">954</div> <div class="pair-pos__perc">65%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">954</div> <div class="pair-pos__perc">65%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.6</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">221</div> <div class="pair-pos__perc">15%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">197</div> <div class="pair-pos__perc">14%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">134</div> <div class="pair-pos__perc">9%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">142</div> <div class="pair-pos__perc">10%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">114</div> <div class="pair-pos__perc">8%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">125</div> <div class="pair-pos__perc">9%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">-0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-28"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f28"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f28"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtExposure<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LandContour<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BsmtExposure:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtExposure<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f29" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f29" data-rollover-span="rollover-f29"></div> <div class="selector selector__bottom" data-detail-div="detail-f29" data-rollover-span="rollover-f29"></div> <div class="selector selector__top" data-detail-div="detail-f29" data-rollover-span="rollover-f29"></div> <span class="bg-tab-summary" style="z-index: -19942"></span> <span class="bg-tab-summary-rollover" id="rollover-f29" style="z-index: -19941"></span> <div class="summary-number" > 30 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BsmtFinType1</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 7 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 7 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f29 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f29"> <div class="container-feature-detail__offset"> <span class="detail_graph-f29- pos-detail-cat-graph" id="detail_graph-f29" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f29" style="top: 504.0px;"> <!-- height: 406.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">430</div> <div class="pair-pos__perc">29%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">422</div> <div class="pair-pos__perc">29%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">418</div> <div class="pair-pos__perc">29%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">431</div> <div class="pair-pos__perc">30%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.8</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">220</div> <div class="pair-pos__perc">15%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">209</div> <div class="pair-pos__perc">14%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">148</div> <div class="pair-pos__perc">10%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">121</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.6</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">133</div> <div class="pair-pos__perc">9%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">155</div> <div class="pair-pos__perc">11%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">74</div> <div class="pair-pos__perc">5%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">80</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-29"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f29"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f29"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtFinType1<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BsmtFinType1:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtFinType1<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF2</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f30" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f30" data-rollover-span="rollover-f30"></div> <div class="selector selector__bottom" data-detail-div="detail-f30" data-rollover-span="rollover-f30"></div> <div class="selector selector__top" data-detail-div="detail-f30" data-rollover-span="rollover-f30"></div> <span class="bg-tab-summary" style="z-index: -19940"></span> <span class="bg-tab-summary-rollover" id="rollover-f30" style="z-index: -19939"></span> <div class="summary-number" > 31 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BsmtFinType2</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 7 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 7 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f30 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f30"> <div class="container-feature-detail__offset"> <span class="detail_graph-f30- pos-detail-cat-graph" id="detail_graph-f30" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f30" style="top: 504.0px;"> <!-- height: 406.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,257</div> <div class="pair-pos__perc">86%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,238</div> <div class="pair-pos__perc">85%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.6</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">54</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">51</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">46</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">33</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">35</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.8</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">19</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">33</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">14</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-30"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f30"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f30"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtFinType2<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Functional<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BsmtFinType2:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtFinType2<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF2</div> <div class="pos-assoc-row__source text-label color-source">0.84</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f31" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f31" data-rollover-span="rollover-f31"></div> <div class="selector selector__bottom" data-detail-div="detail-f31" data-rollover-span="rollover-f31"></div> <div class="selector selector__top" data-detail-div="detail-f31" data-rollover-span="rollover-f31"></div> <span class="bg-tab-summary" style="z-index: -19938"></span> <span class="bg-tab-summary-rollover" id="rollover-f31" style="z-index: -19937"></span> <div class="summary-number" > 32 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">HeatingQC</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f31 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f31"> <div class="container-feature-detail__offset"> <span class="detail_graph-f31- pos-detail-cat-graph" id="detail_graph-f31" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f31" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">741</div> <div class="pair-pos__perc">51%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">752</div> <div class="pair-pos__perc">52%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">428</div> <div class="pair-pos__perc">29%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">429</div> <div class="pair-pos__perc">29%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">241</div> <div class="pair-pos__perc">17%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">233</div> <div class="pair-pos__perc">16%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">49</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">43</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.4 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-31"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f31"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f31"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">HeatingQC<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON HeatingQC:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">HeatingQC<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f32" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f32" data-rollover-span="rollover-f32"></div> <div class="selector selector__bottom" data-detail-div="detail-f32" data-rollover-span="rollover-f32"></div> <div class="selector selector__top" data-detail-div="detail-f32" data-rollover-span="rollover-f32"></div> <span class="bg-tab-summary" style="z-index: -19936"></span> <span class="bg-tab-summary-rollover" id="rollover-f32" style="z-index: -19935"></span> <div class="summary-number" > 33 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">KitchenQual</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 4 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f32 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f32"> <div class="container-feature-detail__offset"> <span class="detail_graph-f32- pos-detail-cat-graph" id="detail_graph-f32" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f32" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">735</div> <div class="pair-pos__perc">50%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">758</div> <div class="pair-pos__perc">52%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">586</div> <div class="pair-pos__perc">40%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">565</div> <div class="pair-pos__perc">39%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">100</div> <div class="pair-pos__perc">7%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">105</div> <div class="pair-pos__perc">7%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">39</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">31</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-32"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f32"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f32"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">KitchenQual<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON KitchenQual:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">KitchenQual<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f33" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f33" data-rollover-span="rollover-f33"></div> <div class="selector selector__bottom" data-detail-div="detail-f33" data-rollover-span="rollover-f33"></div> <div class="selector selector__top" data-detail-div="detail-f33" data-rollover-span="rollover-f33"></div> <span class="bg-tab-summary" style="z-index: -19934"></span> <span class="bg-tab-summary-rollover" id="rollover-f33" style="z-index: -19933"></span> <div class="summary-number" > 34 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">FireplaceQu</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 6 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 6 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f33 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f33"> <div class="container-feature-detail__offset"> <span class="detail_graph-f33- pos-detail-cat-graph" id="detail_graph-f33" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f33" style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">690</div> <div class="pair-pos__perc">47%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">730</div> <div class="pair-pos__perc">50%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">380</div> <div class="pair-pos__perc">26%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">364</div> <div class="pair-pos__perc">25%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">313</div> <div class="pair-pos__perc">21%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">279</div> <div class="pair-pos__perc">19%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">33</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">24</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">19</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">26</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-33"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f33"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f33"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">FireplaceQu<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.75</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON FireplaceQu:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">FireplaceQu<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f34" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f34" data-rollover-span="rollover-f34"></div> <div class="selector selector__bottom" data-detail-div="detail-f34" data-rollover-span="rollover-f34"></div> <div class="selector selector__top" data-detail-div="detail-f34" data-rollover-span="rollover-f34"></div> <span class="bg-tab-summary" style="z-index: -19932"></span> <span class="bg-tab-summary-rollover" id="rollover-f34" style="z-index: -19931"></span> <div class="summary-number" > 35 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">GarageFinish</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 4 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f34 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f34"> <div class="container-feature-detail__offset"> <span class="detail_graph-f34- pos-detail-cat-graph" id="detail_graph-f34" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f34" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">605</div> <div class="pair-pos__perc">41%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">627</div> <div class="pair-pos__perc">43%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">422</div> <div class="pair-pos__perc">29%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">389</div> <div class="pair-pos__perc">27%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">352</div> <div class="pair-pos__perc">24%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">367</div> <div class="pair-pos__perc">25%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">81</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">76</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-34"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f34"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f34"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageFinish<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON GarageFinish:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageFinish<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f35" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f35" data-rollover-span="rollover-f35"></div> <div class="selector selector__bottom" data-detail-div="detail-f35" data-rollover-span="rollover-f35"></div> <div class="selector selector__top" data-detail-div="detail-f35" data-rollover-span="rollover-f35"></div> <span class="bg-tab-summary" style="z-index: -19930"></span> <span class="bg-tab-summary-rollover" id="rollover-f35" style="z-index: -19929"></span> <div class="summary-number" > 36 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">GarageQual</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 6 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f35 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f35"> <div class="container-feature-detail__offset"> <span class="detail_graph-f35- pos-detail-cat-graph" id="detail_graph-f35" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f35" style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,311</div> <div class="pair-pos__perc">90%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,295</div> <div class="pair-pos__perc">89%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">81</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">76</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">48</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">76</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">14</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-35"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f35"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f35"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageQual<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON GarageQual:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageQual<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LowQualFinSF</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f36" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f36" data-rollover-span="rollover-f36"></div> <div class="selector selector__bottom" data-detail-div="detail-f36" data-rollover-span="rollover-f36"></div> <div class="selector selector__top" data-detail-div="detail-f36" data-rollover-span="rollover-f36"></div> <span class="bg-tab-summary" style="z-index: -19928"></span> <span class="bg-tab-summary-rollover" id="rollover-f36" style="z-index: -19927"></span> <div class="summary-number" > 37 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">GarageCond</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 6 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 6 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f36 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f36"> <div class="container-feature-detail__offset"> <span class="detail_graph-f36- pos-detail-cat-graph" id="detail_graph-f36" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f36" style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,326</div> <div class="pair-pos__perc">91%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,330</div> <div class="pair-pos__perc">91%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">81</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">76</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">35</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">39</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">9</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-36"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f36"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f36"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageCond<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON GarageCond:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">CentralAir</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageCond<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f37" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f37" data-rollover-span="rollover-f37"></div> <div class="selector selector__bottom" data-detail-div="detail-f37" data-rollover-span="rollover-f37"></div> <div class="selector selector__top" data-detail-div="detail-f37" data-rollover-span="rollover-f37"></div> <span class="bg-tab-summary" style="z-index: -19926"></span> <span class="bg-tab-summary-rollover" id="rollover-f37" style="z-index: -19925"></span> <div class="summary-number" > 38 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">PavedDrive</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 3 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 3 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f37 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f37"> <div class="container-feature-detail__offset"> <span class="detail_graph-f37- pos-detail-cat-graph" id="detail_graph-f37" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f37" style="top: 264.0px;"> <!-- height: 646.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,340</div> <div class="pair-pos__perc">92%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,301</div> <div class="pair-pos__perc">89%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">90</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">126</div> <div class="pair-pos__perc">9%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">30</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">32</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-37"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f37"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f37"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">PavedDrive<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON PavedDrive:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">PavedDrive<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f38" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f38" data-rollover-span="rollover-f38"></div> <div class="selector selector__bottom" data-detail-div="detail-f38" data-rollover-span="rollover-f38"></div> <div class="selector selector__top" data-detail-div="detail-f38" data-rollover-span="rollover-f38"></div> <span class="bg-tab-summary" style="z-index: -19924"></span> <span class="bg-tab-summary-rollover" id="rollover-f38" style="z-index: -19923"></span> <div class="summary-number" > 39 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">PoolQC</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 3 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f38 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f38"> <div class="container-feature-detail__offset"> <span class="detail_graph-f38- pos-detail-cat-graph" id="detail_graph-f38" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f38" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,453</div> <div class="pair-pos__perc">>99%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,456</div> <div class="pair-pos__perc">>99%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-38"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f38"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f38"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">PoolQC<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.90</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Fence<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FireplaceQu<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Fireplaces<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtHalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON PoolQC:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">1.00</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fence</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">PoolQC<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f39" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f39" data-rollover-span="rollover-f39"></div> <div class="selector selector__bottom" data-detail-div="detail-f39" data-rollover-span="rollover-f39"></div> <div class="selector selector__top" data-detail-div="detail-f39" data-rollover-span="rollover-f39"></div> <span class="bg-tab-summary" style="z-index: -19922"></span> <span class="bg-tab-summary-rollover" id="rollover-f39" style="z-index: -19921"></span> <div class="summary-number" > 40 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Fence</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f39 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f39"> <div class="container-feature-detail__offset"> <span class="detail_graph-f39- pos-detail-cat-graph" id="detail_graph-f39" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f39" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,179</div> <div class="pair-pos__perc">81%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,169</div> <div class="pair-pos__perc">80%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.8</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">157</div> <div class="pair-pos__perc">11%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">172</div> <div class="pair-pos__perc">12%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">59</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">59</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.6</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">54</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">58</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">11</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-39"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f39"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f39"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Fence<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Fence:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Fence<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f40" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f40" data-rollover-span="rollover-f40"></div> <div class="selector selector__bottom" data-detail-div="detail-f40" data-rollover-span="rollover-f40"></div> <div class="selector selector__top" data-detail-div="detail-f40" data-rollover-span="rollover-f40"></div> <span class="bg-tab-summary" style="z-index: -19920"></span> <span class="bg-tab-summary-rollover" id="rollover-f40" style="z-index: -19919"></span> <div class="summary-number" > 41 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">LotArea</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,073 </div> <div class="text-value color-source pos-base-stats__source-perc"> (73%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,106 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (76%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">215k</div> <div class="pos-summary-numeric-compare text-value color-compare">57k</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">17k</div> <div class="pos-summary-numeric-compare text-value color-compare">17k</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">12k</div> <div class="pos-summary-numeric-compare text-value color-compare">12k</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">11k</div> <div class="pos-summary-numeric-compare text-value color-compare">10k</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">9k</div> <div class="pos-summary-numeric-compare text-value color-compare">9k</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">8k</div> <div class="pos-summary-numeric-compare text-value color-compare">7k</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">3k</div> <div class="pos-summary-numeric-compare text-value color-compare">3k</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1k</div> <div class="pos-summary-numeric-compare text-value color-compare">1k</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">214k</div> <div class="pos-summary-numeric-compare text-value color-compare">55,130</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">4,048</div> <div class="pos-summary-numeric-compare text-value color-compare">4,126</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">9,981</div> <div class="pos-summary-numeric-compare text-value color-compare">4,956</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">99.6M</div> <div class="pos-summary-numeric-compare text-value color-compare">24.6M</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">203</div> <div class="pos-summary-numeric-compare text-value color-compare">20.7</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">12.2</div> <div class="pos-summary-numeric-compare text-value color-compare">3.12</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">15.4M</div> <div class="pos-summary-numeric-compare text-value color-compare">14.3M</div> </div> </div> <span class="minigraph-f40 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f40" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f40" data-new_class="detail_graph-f40-0">Auto </button> <button class="button-bin" data-target="detail_graph-f40" data-new_class="detail_graph-f40-5">5 </button> <button class="button-bin" data-target="detail_graph-f40" data-new_class="detail_graph-f40-15">15 </button> <button class="button-bin" data-target="detail_graph-f40" data-new_class="detail_graph-f40-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f40-0 pos-detail-num-graph" id="detail_graph-f40"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f40"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">LotArea</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.64</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandContour</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9600.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6000.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9000.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8400.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10800.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1680.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9100.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8125.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6240.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3182.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7800.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8450.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1300.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1477.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1491.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1526.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1533.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1596.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1680.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1869.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1890.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1920.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1936.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1950.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1953.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1974.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2001.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">215245.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">164660.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">159000.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">115149.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">70761.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">63887.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">57200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">53504.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">53227.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">53107.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">50271.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">46589.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">45600.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40094.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">39104.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f41" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f41" data-rollover-span="rollover-f41"></div> <div class="selector selector__bottom" data-detail-div="detail-f41" data-rollover-span="rollover-f41"></div> <div class="selector selector__top" data-detail-div="detail-f41" data-rollover-span="rollover-f41"></div> <span class="bg-tab-summary" style="z-index: -19918"></span> <span class="bg-tab-summary-rollover" id="rollover-f41" style="z-index: -19917"></span> <div class="summary-number" > 42 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">1stFlrSF</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 753 </div> <div class="text-value color-source pos-base-stats__source-perc"> (52%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 789 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (54%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">4,692</div> <div class="pos-summary-numeric-compare text-value color-compare">5,095</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1,831</div> <div class="pos-summary-numeric-compare text-value color-compare">1,829</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">1,391</div> <div class="pos-summary-numeric-compare text-value color-compare">1,382</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">1,163</div> <div class="pos-summary-numeric-compare text-value color-compare">1,157</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">1,087</div> <div class="pos-summary-numeric-compare text-value color-compare">1,079</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">882</div> <div class="pos-summary-numeric-compare text-value color-compare">874</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">673</div> <div class="pos-summary-numeric-compare text-value color-compare">630</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">334</div> <div class="pos-summary-numeric-compare text-value color-compare">407</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">4,358</div> <div class="pos-summary-numeric-compare text-value color-compare">4,688</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">509</div> <div class="pos-summary-numeric-compare text-value color-compare">509</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">387</div> <div class="pos-summary-numeric-compare text-value color-compare">398</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">149k</div> <div class="pos-summary-numeric-compare text-value color-compare">159k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">5.75</div> <div class="pos-summary-numeric-compare text-value color-compare">8.05</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.38</div> <div class="pos-summary-numeric-compare text-value color-compare">1.56</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">1.7M</div> <div class="pos-summary-numeric-compare text-value color-compare">1.7M</div> </div> </div> <span class="minigraph-f41 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f41" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f41" data-new_class="detail_graph-f41-0">Auto </button> <button class="button-bin" data-target="detail_graph-f41" data-new_class="detail_graph-f41-5">5 </button> <button class="button-bin" data-target="detail_graph-f41" data-new_class="detail_graph-f41-15">15 </button> <button class="button-bin" data-target="detail_graph-f41" data-new_class="detail_graph-f41-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f41-0 pos-detail-num-graph" id="detail_graph-f41"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f41"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">1stFlrSF</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.82</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.81</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.77</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.73</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.64</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">864.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1040.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">912.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">894.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">848.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">672.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">630.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">816.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">483.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">960.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">936.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">832.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">840.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1056.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">764.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">334.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">372.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">438.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">480.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">483.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">495.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">520.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">525.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">526.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">536.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">546.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">551.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">561.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">572.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">575.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4692.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3228.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3138.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2898.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2633.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2524.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2515.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2444.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2411.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2402.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2392.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2364.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2259.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2234.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2223.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f42" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f42" data-rollover-span="rollover-f42"></div> <div class="selector selector__bottom" data-detail-div="detail-f42" data-rollover-span="rollover-f42"></div> <div class="selector selector__top" data-detail-div="detail-f42" data-rollover-span="rollover-f42"></div> <span class="bg-tab-summary" style="z-index: -19916"></span> <span class="bg-tab-summary-rollover" id="rollover-f42" style="z-index: -19915"></span> <div class="summary-number" > 43 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">2ndFlrSF</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 417 </div> <div class="text-value color-source pos-base-stats__source-perc"> (29%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 407 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (28%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 829 </div> <div class="text-value color-source pos-base-stats__source-perc"> (57%) </div> <div class="text-value color-compare pos-base-stats__compare"> 839 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (58%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">2,065</div> <div class="pos-summary-numeric-compare text-value color-compare">1,862</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1,141</div> <div class="pos-summary-numeric-compare text-value color-compare">1,117</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">728</div> <div class="pos-summary-numeric-compare text-value color-compare">676</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">347</div> <div class="pos-summary-numeric-compare text-value color-compare">326</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">2,065</div> <div class="pos-summary-numeric-compare text-value color-compare">1,862</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">728</div> <div class="pos-summary-numeric-compare text-value color-compare">676</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">437</div> <div class="pos-summary-numeric-compare text-value color-compare">421</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">191k</div> <div class="pos-summary-numeric-compare text-value color-compare">177k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">-0.553</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.275</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">0.813</div> <div class="pos-summary-numeric-compare text-value color-compare">0.913</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">507k</div> <div class="pos-summary-numeric-compare text-value color-compare">476k</div> </div> </div> <span class="minigraph-f42 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f42" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f42" data-new_class="detail_graph-f42-0">Auto </button> <button class="button-bin" data-target="detail_graph-f42" data-new_class="detail_graph-f42-5">5 </button> <button class="button-bin" data-target="detail_graph-f42" data-new_class="detail_graph-f42-15">15 </button> <button class="button-bin" data-target="detail_graph-f42" data-new_class="detail_graph-f42-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f42-0 pos-detail-num-graph" id="detail_graph-f42"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f42"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">2ndFlrSF</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-red">-0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-red">-0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-red">-0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-red">-0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.32</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.95</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.90</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">829</div> <div class="pos-detail-num-pair-pos__perc">56.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">839</div> <div class="pos-detail-num-pair-pos__perc">57.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">728.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">504.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">546.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">672.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">600.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">720.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">896.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">862.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">780.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">689.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">840.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">756.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">739.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">551.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">829</div> <div class="pos-detail-num-pair-pos__perc">56.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">839</div> <div class="pos-detail-num-pair-pos__perc">57.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">110.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">167.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">192.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">208.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">213.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">220.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">224.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">240.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">252.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">272.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">299.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">304.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">316.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">319.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2065.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1872.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1818.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1796.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1611.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1589.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1540.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1538.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1523.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1519.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1518.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1479.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1440.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1427.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1426.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f43" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f43" data-rollover-span="rollover-f43"></div> <div class="selector selector__bottom" data-detail-div="detail-f43" data-rollover-span="rollover-f43"></div> <div class="selector selector__top" data-detail-div="detail-f43" data-rollover-span="rollover-f43"></div> <span class="bg-tab-summary" style="z-index: -19914"></span> <span class="bg-tab-summary-rollover" id="rollover-f43" style="z-index: -19913"></span> <div class="summary-number" > 44 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">LowQualFinSF</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 24 </div> <div class="text-value color-source pos-base-stats__source-perc"> (2%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 15 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (1%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,434 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,445 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">572</div> <div class="pos-summary-numeric-compare text-value color-compare">1,064</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">6</div> <div class="pos-summary-numeric-compare text-value color-compare">4</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">572</div> <div class="pos-summary-numeric-compare text-value color-compare">1,064</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">48.6</div> <div class="pos-summary-numeric-compare text-value color-compare">44.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">2,364</div> <div class="pos-summary-numeric-compare text-value color-compare">1,940</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">83.2</div> <div class="pos-summary-numeric-compare text-value color-compare">309</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">9.01</div> <div class="pos-summary-numeric-compare text-value color-compare">16.2</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">8,533</div> <div class="pos-summary-numeric-compare text-value color-compare">5,170</div> </div> </div> <span class="minigraph-f43 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f43" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f43" data-new_class="detail_graph-f43-0">Auto </button> <button class="button-bin" data-target="detail_graph-f43" data-new_class="detail_graph-f43-5">5 </button> <button class="button-bin" data-target="detail_graph-f43" data-new_class="detail_graph-f43-15">15 </button> <button class="button-bin" data-target="detail_graph-f43" data-new_class="detail_graph-f43-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f43-0 pos-detail-num-graph" id="detail_graph-f43"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f43"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">LowQualFinSF</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-red">-0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-red">-0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-red">-0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-red">-0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-red">-0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-red">-0.06</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,434</div> <div class="pos-detail-num-pair-pos__perc">98.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,445</div> <div class="pos-detail-num-pair-pos__perc">99.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">360.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">205.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">479.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">397.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">514.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">481.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">232.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">53.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">515.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">156.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">473.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">420.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,434</div> <div class="pos-detail-num-pair-pos__perc">98.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,445</div> <div class="pos-detail-num-pair-pos__perc">99.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">53.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">156.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">205.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">232.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">234.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">360.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">371.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">384.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">390.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">392.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">397.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">572.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">528.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">515.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">514.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">513.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">481.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">479.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">473.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">420.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">397.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">392.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">390.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">384.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">371.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">360.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f44" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f44" data-rollover-span="rollover-f44"></div> <div class="selector selector__bottom" data-detail-div="detail-f44" data-rollover-span="rollover-f44"></div> <div class="selector selector__top" data-detail-div="detail-f44" data-rollover-span="rollover-f44"></div> <span class="bg-tab-summary" style="z-index: -19912"></span> <span class="bg-tab-summary-rollover" id="rollover-f44" style="z-index: -19911"></span> <div class="summary-number" > 45 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">GrLivArea</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 861 </div> <div class="text-value color-source pos-base-stats__source-perc"> (59%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 879 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (60%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">5,642</div> <div class="pos-summary-numeric-compare text-value color-compare">5,095</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">2,466</div> <div class="pos-summary-numeric-compare text-value color-compare">2,461</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">1,777</div> <div class="pos-summary-numeric-compare text-value color-compare">1,721</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">1,515</div> <div class="pos-summary-numeric-compare text-value color-compare">1,486</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">1,464</div> <div class="pos-summary-numeric-compare text-value color-compare">1,432</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1,130</div> <div class="pos-summary-numeric-compare text-value color-compare">1,118</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">848</div> <div class="pos-summary-numeric-compare text-value color-compare">864</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">334</div> <div class="pos-summary-numeric-compare text-value color-compare">407</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">5,308</div> <div class="pos-summary-numeric-compare text-value color-compare">4,688</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">647</div> <div class="pos-summary-numeric-compare text-value color-compare">604</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">525</div> <div class="pos-summary-numeric-compare text-value color-compare">486</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">276k</div> <div class="pos-summary-numeric-compare text-value color-compare">236k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">4.90</div> <div class="pos-summary-numeric-compare text-value color-compare">2.92</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.37</div> <div class="pos-summary-numeric-compare text-value color-compare">1.13</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">2.2M</div> <div class="pos-summary-numeric-compare text-value color-compare">2.2M</div> </div> </div> <span class="minigraph-f44 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f44" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f44" data-new_class="detail_graph-f44-0">Auto </button> <button class="button-bin" data-target="detail_graph-f44" data-new_class="detail_graph-f44-5">5 </button> <button class="button-bin" data-target="detail_graph-f44" data-new_class="detail_graph-f44-15">15 </button> <button class="button-bin" data-target="detail_graph-f44" data-new_class="detail_graph-f44-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f44-0 pos-detail-num-graph" id="detail_graph-f44"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f44"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">GrLivArea</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.84</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.84</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.83</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-red">-0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.93</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">864.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">22</div> <div class="pos-detail-num-pair-pos__perc">1.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1040.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">894.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1456.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">848.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">912.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">816.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1092.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1728.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1344.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">987.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1768.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1224.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1484.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">334.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">438.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">480.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">520.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">605.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">616.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">630.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">672.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">691.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">693.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">694.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">698.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">708.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">720.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">729.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5642.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4676.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4476.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4316.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3627.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3608.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3493.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3447.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3395.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3279.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3238.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3228.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3222.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3194.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3140.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f45" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f45" data-rollover-span="rollover-f45"></div> <div class="selector selector__bottom" data-detail-div="detail-f45" data-rollover-span="rollover-f45"></div> <div class="selector selector__top" data-detail-div="detail-f45" data-rollover-span="rollover-f45"></div> <span class="bg-tab-summary" style="z-index: -19910"></span> <span class="bg-tab-summary-rollover" id="rollover-f45" style="z-index: -19909"></span> <div class="summary-number" > 46 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">WoodDeckSF</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 274 </div> <div class="text-value color-source pos-base-stats__source-perc"> (19%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 263 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (18%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 761 </div> <div class="text-value color-source pos-base-stats__source-perc"> (52%) </div> <div class="text-value color-compare pos-base-stats__compare"> 762 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (52%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">857</div> <div class="pos-summary-numeric-compare text-value color-compare">1,424</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">335</div> <div class="pos-summary-numeric-compare text-value color-compare">319</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">168</div> <div class="pos-summary-numeric-compare text-value color-compare">168</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">94</div> <div class="pos-summary-numeric-compare text-value color-compare">93</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">857</div> <div class="pos-summary-numeric-compare text-value color-compare">1,424</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">168</div> <div class="pos-summary-numeric-compare text-value color-compare">168</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">125</div> <div class="pos-summary-numeric-compare text-value color-compare">128</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">15,710</div> <div class="pos-summary-numeric-compare text-value color-compare">16,319</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">2.99</div> <div class="pos-summary-numeric-compare text-value color-compare">10.2</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.54</div> <div class="pos-summary-numeric-compare text-value color-compare">2.13</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">138k</div> <div class="pos-summary-numeric-compare text-value color-compare">136k</div> </div> </div> <span class="minigraph-f45 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f45" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f45" data-new_class="detail_graph-f45-0">Auto </button> <button class="button-bin" data-target="detail_graph-f45" data-new_class="detail_graph-f45-5">5 </button> <button class="button-bin" data-target="detail_graph-f45" data-new_class="detail_graph-f45-15">15 </button> <button class="button-bin" data-target="detail_graph-f45" data-new_class="detail_graph-f45-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f45-0 pos-detail-num-graph" id="detail_graph-f45"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f45"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">WoodDeckSF</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.74</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PorchTypes</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">761</div> <div class="pos-detail-num-pair-pos__perc">52.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">762</div> <div class="pos-detail-num-pair-pos__perc">52.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">192.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">38</div> <div class="pos-detail-num-pair-pos__perc">2.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">32</div> <div class="pos-detail-num-pair-pos__perc">2.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">100.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">36</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">38</div> <div class="pos-detail-num-pair-pos__perc">2.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">33</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">31</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">22</div> <div class="pos-detail-num-pair-pos__perc">1.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">168.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">140.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">224.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">208.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">240.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">180.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">160.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">264.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">761</div> <div class="pos-detail-num-pair-pos__perc">52.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">762</div> <div class="pos-detail-num-pair-pos__perc">52.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">26.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">28.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">33.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">35.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">38.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">42.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">44.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">45.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">857.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">736.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">728.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">670.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">668.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">635.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">586.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">576.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">574.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">550.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">536.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">519.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">517.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">511.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">509.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f46" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f46" data-rollover-span="rollover-f46"></div> <div class="selector selector__bottom" data-detail-div="detail-f46" data-rollover-span="rollover-f46"></div> <div class="selector selector__top" data-detail-div="detail-f46" data-rollover-span="rollover-f46"></div> <span class="bg-tab-summary" style="z-index: -19908"></span> <span class="bg-tab-summary-rollover" id="rollover-f46" style="z-index: -19907"></span> <div class="summary-number" > 47 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">OpenPorchSF</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 202 </div> <div class="text-value color-source pos-base-stats__source-perc"> (14%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 203 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (14%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 656 </div> <div class="text-value color-source pos-base-stats__source-perc"> (45%) </div> <div class="text-value color-compare pos-base-stats__compare"> 642 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (44%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">547</div> <div class="pos-summary-numeric-compare text-value color-compare">742</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">175</div> <div class="pos-summary-numeric-compare text-value color-compare">189</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">68</div> <div class="pos-summary-numeric-compare text-value color-compare">72</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">47</div> <div class="pos-summary-numeric-compare text-value color-compare">48</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">25</div> <div class="pos-summary-numeric-compare text-value color-compare">28</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">547</div> <div class="pos-summary-numeric-compare text-value color-compare">742</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">68.0</div> <div class="pos-summary-numeric-compare text-value color-compare">72.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">66.3</div> <div class="pos-summary-numeric-compare text-value color-compare">68.9</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">4,390</div> <div class="pos-summary-numeric-compare text-value color-compare">4,745</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">8.49</div> <div class="pos-summary-numeric-compare text-value color-compare">13.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">2.36</div> <div class="pos-summary-numeric-compare text-value color-compare">2.69</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">68,124</div> <div class="pos-summary-numeric-compare text-value color-compare">70,490</div> </div> </div> <span class="minigraph-f46 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f46" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f46" data-new_class="detail_graph-f46-0">Auto </button> <button class="button-bin" data-target="detail_graph-f46" data-new_class="detail_graph-f46-5">5 </button> <button class="button-bin" data-target="detail_graph-f46" data-new_class="detail_graph-f46-15">15 </button> <button class="button-bin" data-target="detail_graph-f46" data-new_class="detail_graph-f46-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f46-0 pos-detail-num-graph" id="detail_graph-f46"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f46"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">OpenPorchSF</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.33</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PorchTypes</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">656</div> <div class="pos-detail-num-pair-pos__perc">44.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">642</div> <div class="pos-detail-num-pair-pos__perc">44.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">29</div> <div class="pos-detail-num-pair-pos__perc">2.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">22</div> <div class="pos-detail-num-pair-pos__perc">1.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">29</div> <div class="pos-detail-num-pair-pos__perc">2.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">45.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">39.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">28.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">54.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">50.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">44.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">656</div> <div class="pos-detail-num-pair-pos__perc">44.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">642</div> <div class="pos-detail-num-pair-pos__perc">44.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">17.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">18.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">21.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">22.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">23.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">547.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">523.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">502.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">418.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">406.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">364.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">341.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">319.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">312.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">304.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">292.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">291.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">288.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">287.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">285.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f47" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f47" data-rollover-span="rollover-f47"></div> <div class="selector selector__bottom" data-detail-div="detail-f47" data-rollover-span="rollover-f47"></div> <div class="selector selector__top" data-detail-div="detail-f47" data-rollover-span="rollover-f47"></div> <span class="bg-tab-summary" style="z-index: -19906"></span> <span class="bg-tab-summary-rollover" id="rollover-f47" style="z-index: -19905"></span> <div class="summary-number" > 48 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">EnclosedPorch</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 120 </div> <div class="text-value color-source pos-base-stats__source-perc"> (8%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 131 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (9%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,252 </div> <div class="text-value color-source pos-base-stats__source-perc"> (86%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,208 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (83%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">552</div> <div class="pos-summary-numeric-compare text-value color-compare">1,012</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">180</div> <div class="pos-summary-numeric-compare text-value color-compare">169</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">22</div> <div class="pos-summary-numeric-compare text-value color-compare">24</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">552</div> <div class="pos-summary-numeric-compare text-value color-compare">1,012</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">61.1</div> <div class="pos-summary-numeric-compare text-value color-compare">67.2</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">3,736</div> <div class="pos-summary-numeric-compare text-value color-compare">4,520</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">10.4</div> <div class="pos-summary-numeric-compare text-value color-compare">40.1</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">3.09</div> <div class="pos-summary-numeric-compare text-value color-compare">4.67</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">32,053</div> <div class="pos-summary-numeric-compare text-value color-compare">35,371</div> </div> </div> <span class="minigraph-f47 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f47" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f47" data-new_class="detail_graph-f47-0">Auto </button> <button class="button-bin" data-target="detail_graph-f47" data-new_class="detail_graph-f47-5">5 </button> <button class="button-bin" data-target="detail_graph-f47" data-new_class="detail_graph-f47-15">15 </button> <button class="button-bin" data-target="detail_graph-f47" data-new_class="detail_graph-f47-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f47-0 pos-detail-num-graph" id="detail_graph-f47"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f47"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">EnclosedPorch</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-red">-0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-red">-0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-red">-0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-red">-0.19</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-red">-0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-red">-0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-red">-0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-red">-0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-red">-0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-red">-0.10</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,252</div> <div class="pos-detail-num-pair-pos__perc">85.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,208</div> <div class="pos-detail-num-pair-pos__perc">82.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">192.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">156.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">116.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">252.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">184.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">126.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">150.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">164.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">128.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,252</div> <div class="pos-detail-num-pair-pos__perc">85.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,208</div> <div class="pos-detail-num-pair-pos__perc">82.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">19.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">34.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">37.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">39.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">42.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">44.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">50.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">552.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">386.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">330.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">318.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">301.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">294.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">293.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">291.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">286.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">280.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">275.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">272.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">268.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">264.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">259.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f48" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f48" data-rollover-span="rollover-f48"></div> <div class="selector selector__bottom" data-detail-div="detail-f48" data-rollover-span="rollover-f48"></div> <div class="selector selector__top" data-detail-div="detail-f48" data-rollover-span="rollover-f48"></div> <span class="bg-tab-summary" style="z-index: -19904"></span> <span class="bg-tab-summary-rollover" id="rollover-f48" style="z-index: -19903"></span> <div class="summary-number" > 49 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">3SsnPorch</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 20 </div> <div class="text-value color-source pos-base-stats__source-perc"> (1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 13 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,436 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">508</div> <div class="pos-summary-numeric-compare text-value color-compare">360</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">3</div> <div class="pos-summary-numeric-compare text-value color-compare">2</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">508</div> <div class="pos-summary-numeric-compare text-value color-compare">360</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">29.3</div> <div class="pos-summary-numeric-compare text-value color-compare">20.2</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">860</div> <div class="pos-summary-numeric-compare text-value color-compare">408</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">124</div> <div class="pos-summary-numeric-compare text-value color-compare">170</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">10.3</div> <div class="pos-summary-numeric-compare text-value color-compare">12.5</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">4,978</div> <div class="pos-summary-numeric-compare text-value color-compare">2,618</div> </div> </div> <span class="minigraph-f48 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f48" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f48" data-new_class="detail_graph-f48-0">Auto </button> <button class="button-bin" data-target="detail_graph-f48" data-new_class="detail_graph-f48-5">5 </button> <button class="button-bin" data-target="detail_graph-f48" data-new_class="detail_graph-f48-15">15 </button> <button class="button-bin" data-target="detail_graph-f48" data-new_class="detail_graph-f48-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f48-0 pos-detail-num-graph" id="detail_graph-f48"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f48"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">3SsnPorch</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-red">-0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-red">-0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row-target " > <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Id</div> <div class="pos-assoc-row__source text-label color-red">-0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition1</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LotConfig</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,436</div> <div class="pos-detail-num-pair-pos__perc">98.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,446</div> <div class="pos-detail-num-pair-pos__perc">99.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">168.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">180.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">290.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">153.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">23.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">162.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">182.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">196.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">320.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">245.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">238.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,436</div> <div class="pos-detail-num-pair-pos__perc">98.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,446</div> <div class="pos-detail-num-pair-pos__perc">99.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">23.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">130.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">140.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">153.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">162.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">168.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">180.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">182.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">196.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">238.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">245.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">508.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">407.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">320.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">304.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">290.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">245.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">238.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">196.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">182.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">180.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">168.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">162.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">153.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f49" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f49" data-rollover-span="rollover-f49"></div> <div class="selector selector__bottom" data-detail-div="detail-f49" data-rollover-span="rollover-f49"></div> <div class="selector selector__top" data-detail-div="detail-f49" data-rollover-span="rollover-f49"></div> <span class="bg-tab-summary" style="z-index: -19902"></span> <span class="bg-tab-summary-rollover" id="rollover-f49" style="z-index: -19901"></span> <div class="summary-number" > 50 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">ScreenPorch</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 76 </div> <div class="text-value color-source pos-base-stats__source-perc"> (5%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 75 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (5%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,344 </div> <div class="text-value color-source pos-base-stats__source-perc"> (92%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,319 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (90%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">480</div> <div class="pos-summary-numeric-compare text-value color-compare">576</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">160</div> <div class="pos-summary-numeric-compare text-value color-compare">162</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">15</div> <div class="pos-summary-numeric-compare text-value color-compare">17</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">480</div> <div class="pos-summary-numeric-compare text-value color-compare">576</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">55.8</div> <div class="pos-summary-numeric-compare text-value color-compare">56.6</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">3,109</div> <div class="pos-summary-numeric-compare text-value color-compare">3,205</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">18.4</div> <div class="pos-summary-numeric-compare text-value color-compare">17.2</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">4.12</div> <div class="pos-summary-numeric-compare text-value color-compare">3.79</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">21,989</div> <div class="pos-summary-numeric-compare text-value color-compare">24,897</div> </div> </div> <span class="minigraph-f49 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f49" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f49" data-new_class="detail_graph-f49-0">Auto </button> <button class="button-bin" data-target="detail_graph-f49" data-new_class="detail_graph-f49-5">5 </button> <button class="button-bin" data-target="detail_graph-f49" data-new_class="detail_graph-f49-15">15 </button> <button class="button-bin" data-target="detail_graph-f49" data-new_class="detail_graph-f49-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f49-0 pos-detail-num-graph" id="detail_graph-f49"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f49"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">ScreenPorch</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.12</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-red">-0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinSF2</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-red">-0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-red">-0.08</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MiscFeature</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PorchTypes</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,344</div> <div class="pos-detail-num-pair-pos__perc">92.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,319</div> <div class="pos-detail-num-pair-pos__perc">90.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">192.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">224.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">189.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">180.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">147.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">90.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">160.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">126.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">168.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">198.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">259.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">288.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,344</div> <div class="pos-detail-num-pair-pos__perc">92.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,319</div> <div class="pos-detail-num-pair-pos__perc">90.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">53.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">63.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">90.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">95.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">99.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">100.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">116.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">119.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">122.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">126.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">480.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">440.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">410.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">396.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">385.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">374.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">322.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">312.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">291.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">288.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">287.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">276.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">273.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">271.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">266.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f50" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f50" data-rollover-span="rollover-f50"></div> <div class="selector selector__bottom" data-detail-div="detail-f50" data-rollover-span="rollover-f50"></div> <div class="selector selector__top" data-detail-div="detail-f50" data-rollover-span="rollover-f50"></div> <span class="bg-tab-summary" style="z-index: -19900"></span> <span class="bg-tab-summary-rollover" id="rollover-f50" style="z-index: -19899"></span> <div class="summary-number" > 51 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">PoolArea</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 8 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 7 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f50 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f50"> <div class="container-feature-detail__offset"> <span class="detail_graph-f50- pos-detail-cat-graph" id="detail_graph-f50" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f50" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 60px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 141px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,453</div> <div class="pair-pos__perc">>99%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,453</div> <div class="pair-pos__perc">>99%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">512.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">648.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">576.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">555.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 13.5 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">480.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">519.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">738.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">144.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">368.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">444.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">228.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">561.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">800.0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-50"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f50"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f50"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">PoolArea<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">1.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Fence<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Fireplaces<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtHalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FireplaceQu<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON PoolArea:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC</div> <div class="pos-assoc-row__source text-label color-source">0.90</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fence</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">PoolArea<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f51" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f51" data-rollover-span="rollover-f51"></div> <div class="selector selector__bottom" data-detail-div="detail-f51" data-rollover-span="rollover-f51"></div> <div class="selector selector__top" data-detail-div="detail-f51" data-rollover-span="rollover-f51"></div> <span class="bg-tab-summary" style="z-index: -19898"></span> <span class="bg-tab-summary-rollover" id="rollover-f51" style="z-index: -19897"></span> <div class="summary-number" > 52 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">BsmtFinSF1</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 637 </div> <div class="text-value color-source pos-base-stats__source-perc"> (44%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 670 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (46%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 467 </div> <div class="text-value color-source pos-base-stats__source-perc"> (32%) </div> <div class="text-value color-compare pos-base-stats__compare"> 462 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (32%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">5,644</div> <div class="pos-summary-numeric-compare text-value color-compare">4,010</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1,274</div> <div class="pos-summary-numeric-compare text-value color-compare">1,290</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">712</div> <div class="pos-summary-numeric-compare text-value color-compare">752</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">444</div> <div class="pos-summary-numeric-compare text-value color-compare">439</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">384</div> <div class="pos-summary-numeric-compare text-value color-compare">351</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">5,644</div> <div class="pos-summary-numeric-compare text-value color-compare">4,010</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">712</div> <div class="pos-summary-numeric-compare text-value color-compare">752</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">456</div> <div class="pos-summary-numeric-compare text-value color-compare">455</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">208k</div> <div class="pos-summary-numeric-compare text-value color-compare">207k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">11.1</div> <div class="pos-summary-numeric-compare text-value color-compare">2.68</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.69</div> <div class="pos-summary-numeric-compare text-value color-compare">1.17</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">648k</div> <div class="pos-summary-numeric-compare text-value color-compare">641k</div> </div> </div> <span class="minigraph-f51 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f51" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f51" data-new_class="detail_graph-f51-0">Auto </button> <button class="button-bin" data-target="detail_graph-f51" data-new_class="detail_graph-f51-5">5 </button> <button class="button-bin" data-target="detail_graph-f51" data-new_class="detail_graph-f51-15">15 </button> <button class="button-bin" data-target="detail_graph-f51" data-new_class="detail_graph-f51-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f51-0 pos-detail-num-graph" id="detail_graph-f51"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f51"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">BsmtFinSF1</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-red">-0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">467</div> <div class="pos-detail-num-pair-pos__perc">32.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">462</div> <div class="pos-detail-num-pair-pos__perc">31.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">686.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">662.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">936.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">616.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">560.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">553.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">312.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">400.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">641.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">384.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">360.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">467</div> <div class="pos-detail-num-pair-pos__perc">32.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">462</div> <div class="pos-detail-num-pair-pos__perc">31.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">25.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">27.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">28.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">33.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">35.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">41.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">48.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">49.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5644.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2260.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2188.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2096.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1904.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1880.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1810.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1767.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1721.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1696.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1646.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1636.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1619.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1606.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1573.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f52" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f52" data-rollover-span="rollover-f52"></div> <div class="selector selector__bottom" data-detail-div="detail-f52" data-rollover-span="rollover-f52"></div> <div class="selector selector__top" data-detail-div="detail-f52" data-rollover-span="rollover-f52"></div> <span class="bg-tab-summary" style="z-index: -19896"></span> <span class="bg-tab-summary-rollover" id="rollover-f52" style="z-index: -19895"></span> <div class="summary-number" > 53 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">BsmtFinSF2</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 144 </div> <div class="text-value color-source pos-base-stats__source-perc"> (10%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 161 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (11%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,293 </div> <div class="text-value color-source pos-base-stats__source-perc"> (89%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,279 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (88%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">1,474</div> <div class="pos-summary-numeric-compare text-value color-compare">1,526</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">396</div> <div class="pos-summary-numeric-compare text-value color-compare">448</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">47</div> <div class="pos-summary-numeric-compare text-value color-compare">53</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">1,474</div> <div class="pos-summary-numeric-compare text-value color-compare">1,526</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">161</div> <div class="pos-summary-numeric-compare text-value color-compare">177</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">26,024</div> <div class="pos-summary-numeric-compare text-value color-compare">31,222</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">20.1</div> <div class="pos-summary-numeric-compare text-value color-compare">17.7</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">4.26</div> <div class="pos-summary-numeric-compare text-value color-compare">4.04</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">67,962</div> <div class="pos-summary-numeric-compare text-value color-compare">76,719</div> </div> </div> <span class="minigraph-f52 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f52" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f52" data-new_class="detail_graph-f52-0">Auto </button> <button class="button-bin" data-target="detail_graph-f52" data-new_class="detail_graph-f52-5">5 </button> <button class="button-bin" data-target="detail_graph-f52" data-new_class="detail_graph-f52-15">15 </button> <button class="button-bin" data-target="detail_graph-f52" data-new_class="detail_graph-f52-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f52-0 pos-detail-num-graph" id="detail_graph-f52"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f52"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">BsmtFinSF2</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-red">-0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ScreenPorch</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-red">-0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-red">-0.07</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.84</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Functional</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,293</div> <div class="pos-detail-num-pair-pos__perc">88.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,279</div> <div class="pos-detail-num-pair-pos__perc">87.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">180.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">374.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">551.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">147.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">294.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">391.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">539.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">480.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">182.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">468.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">117.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">290.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,293</div> <div class="pos-detail-num-pair-pos__perc">88.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,279</div> <div class="pos-detail-num-pair-pos__perc">87.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">28.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">35.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">41.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">68.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">81.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">93.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">105.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">106.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">108.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1474.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1127.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1085.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1080.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1063.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1061.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1057.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1031.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1029.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">972.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">906.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">872.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">869.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">841.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f53" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f53" data-rollover-span="rollover-f53"></div> <div class="selector selector__bottom" data-detail-div="detail-f53" data-rollover-span="rollover-f53"></div> <div class="selector selector__top" data-detail-div="detail-f53" data-rollover-span="rollover-f53"></div> <span class="bg-tab-summary" style="z-index: -19894"></span> <span class="bg-tab-summary-rollover" id="rollover-f53" style="z-index: -19893"></span> <div class="summary-number" > 54 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">BsmtUnfSF</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 780 </div> <div class="text-value color-source pos-base-stats__source-perc"> (53%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 793 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (54%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 118 </div> <div class="text-value color-source pos-base-stats__source-perc"> (8%) </div> <div class="text-value color-compare pos-base-stats__compare"> 123 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (8%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">2,336</div> <div class="pos-summary-numeric-compare text-value color-compare">2,140</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1,468</div> <div class="pos-summary-numeric-compare text-value color-compare">1,488</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">808</div> <div class="pos-summary-numeric-compare text-value color-compare">798</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">567</div> <div class="pos-summary-numeric-compare text-value color-compare">554</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">478</div> <div class="pos-summary-numeric-compare text-value color-compare">460</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">223</div> <div class="pos-summary-numeric-compare text-value color-compare">220</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">2,336</div> <div class="pos-summary-numeric-compare text-value color-compare">2,140</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">585</div> <div class="pos-summary-numeric-compare text-value color-compare">578</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">442</div> <div class="pos-summary-numeric-compare text-value color-compare">437</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">195k</div> <div class="pos-summary-numeric-compare text-value color-compare">191k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">0.475</div> <div class="pos-summary-numeric-compare text-value color-compare">0.335</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">0.920</div> <div class="pos-summary-numeric-compare text-value color-compare">0.921</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">828k</div> <div class="pos-summary-numeric-compare text-value color-compare">809k</div> </div> </div> <span class="minigraph-f53 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f53" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f53" data-new_class="detail_graph-f53-0">Auto </button> <button class="button-bin" data-target="detail_graph-f53" data-new_class="detail_graph-f53-5">5 </button> <button class="button-bin" data-target="detail_graph-f53" data-new_class="detail_graph-f53-15">15 </button> <button class="button-bin" data-target="detail_graph-f53" data-new_class="detail_graph-f53-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f53-0 pos-detail-num-graph" id="detail_graph-f53"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f53"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">BsmtUnfSF</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-red">-0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-red">-0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF2</div> <div class="pos-assoc-row__source text-label color-red">-0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">118</div> <div class="pos-detail-num-pair-pos__perc">8.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">123</div> <div class="pos-detail-num-pair-pos__perc">8.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">728.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">384.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">600.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">300.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">572.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">270.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">625.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">672.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">440.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">280.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">390.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">108.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">118</div> <div class="pos-detail-num-pair-pos__perc">8.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">123</div> <div class="pos-detail-num-pair-pos__perc">8.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">23.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">26.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">29.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">35.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">38.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">39.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">50.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">55.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2336.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2153.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2121.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2046.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2042.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2002.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1969.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1935.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1926.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1907.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1905.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1869.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1836.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1800.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1795.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f54" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f54" data-rollover-span="rollover-f54"></div> <div class="selector selector__bottom" data-detail-div="detail-f54" data-rollover-span="rollover-f54"></div> <div class="selector selector__top" data-detail-div="detail-f54" data-rollover-span="rollover-f54"></div> <span class="bg-tab-summary" style="z-index: -19892"></span> <span class="bg-tab-summary-rollover" id="rollover-f54" style="z-index: -19891"></span> <div class="summary-number" > 55 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">TotalBsmtSF</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 721 </div> <div class="text-value color-source pos-base-stats__source-perc"> (49%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 737 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (51%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 37 </div> <div class="text-value color-source pos-base-stats__source-perc"> (3%) </div> <div class="text-value color-compare pos-base-stats__compare"> 41 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (3%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">6,110</div> <div class="pos-summary-numeric-compare text-value color-compare">5,095</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1,753</div> <div class="pos-summary-numeric-compare text-value color-compare">1,782</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">1,298</div> <div class="pos-summary-numeric-compare text-value color-compare">1,304</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">1,057</div> <div class="pos-summary-numeric-compare text-value color-compare">1,046</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">992</div> <div class="pos-summary-numeric-compare text-value color-compare">988</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">796</div> <div class="pos-summary-numeric-compare text-value color-compare">784</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">519</div> <div class="pos-summary-numeric-compare text-value color-compare">392</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">6,110</div> <div class="pos-summary-numeric-compare text-value color-compare">5,095</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">502</div> <div class="pos-summary-numeric-compare text-value color-compare">520</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">439</div> <div class="pos-summary-numeric-compare text-value color-compare">443</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">192k</div> <div class="pos-summary-numeric-compare text-value color-compare">196k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">13.3</div> <div class="pos-summary-numeric-compare text-value color-compare">5.21</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.52</div> <div class="pos-summary-numeric-compare text-value color-compare">0.814</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">1.5M</div> <div class="pos-summary-numeric-compare text-value color-compare">1.5M</div> </div> </div> <span class="minigraph-f54 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f54" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f54" data-new_class="detail_graph-f54-0">Auto </button> <button class="button-bin" data-target="detail_graph-f54" data-new_class="detail_graph-f54-5">5 </button> <button class="button-bin" data-target="detail_graph-f54" data-new_class="detail_graph-f54-15">15 </button> <button class="button-bin" data-target="detail_graph-f54" data-new_class="detail_graph-f54-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f54-0 pos-detail-num-graph" id="detail_graph-f54"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f54"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">TotalBsmtSF</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.82</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.79</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.73</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.62</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">37</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">41</div> <div class="pos-detail-num-pair-pos__perc">2.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">864.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">35</div> <div class="pos-detail-num-pair-pos__perc">2.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">39</div> <div class="pos-detail-num-pair-pos__perc">2.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">672.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">912.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1040.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">816.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">768.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">728.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">894.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">780.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">848.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">832.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">630.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">756.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">952.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">37</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">41</div> <div class="pos-detail-num-pair-pos__perc">2.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">105.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">190.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">264.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">270.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">290.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">319.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">360.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">372.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">384.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">408.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">420.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">440.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">458.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">462.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6110.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3206.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3138.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3094.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2633.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2524.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2444.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2396.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2392.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2330.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2223.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2217.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2158.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f55" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f55" data-rollover-span="rollover-f55"></div> <div class="selector selector__bottom" data-detail-div="detail-f55" data-rollover-span="rollover-f55"></div> <div class="selector selector__top" data-detail-div="detail-f55" data-rollover-span="rollover-f55"></div> <span class="bg-tab-summary" style="z-index: -19890"></span> <span class="bg-tab-summary-rollover" id="rollover-f55" style="z-index: -19889"></span> <div class="summary-number" > 56 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">GarageArea</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 441 </div> <div class="text-value color-source pos-base-stats__source-perc"> (30%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (31%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 81 </div> <div class="text-value color-source pos-base-stats__source-perc"> (6%) </div> <div class="text-value color-compare pos-base-stats__compare"> 76 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (5%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">1,418</div> <div class="pos-summary-numeric-compare text-value color-compare">1,488</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">850</div> <div class="pos-summary-numeric-compare text-value color-compare">864</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">576</div> <div class="pos-summary-numeric-compare text-value color-compare">576</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">480</div> <div class="pos-summary-numeric-compare text-value color-compare">480</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">473</div> <div class="pos-summary-numeric-compare text-value color-compare">473</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">334</div> <div class="pos-summary-numeric-compare text-value color-compare">318</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">1,418</div> <div class="pos-summary-numeric-compare text-value color-compare">1,488</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">242</div> <div class="pos-summary-numeric-compare text-value color-compare">258</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">214</div> <div class="pos-summary-numeric-compare text-value color-compare">217</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">45,713</div> <div class="pos-summary-numeric-compare text-value color-compare">47,078</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">0.917</div> <div class="pos-summary-numeric-compare text-value color-compare">0.970</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">0.180</div> <div class="pos-summary-numeric-compare text-value color-compare">0.300</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">691k</div> <div class="pos-summary-numeric-compare text-value color-compare">690k</div> </div> </div> <span class="minigraph-f55 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f55" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f55" data-new_class="detail_graph-f55-0">Auto </button> <button class="button-bin" data-target="detail_graph-f55" data-new_class="detail_graph-f55-5">5 </button> <button class="button-bin" data-target="detail_graph-f55" data-new_class="detail_graph-f55-15">15 </button> <button class="button-bin" data-target="detail_graph-f55" data-new_class="detail_graph-f55-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f55-0 pos-detail-num-graph" id="detail_graph-f55"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f55"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">GarageArea</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.83</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.55</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.89</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">81</div> <div class="pos-detail-num-pair-pos__perc">5.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">76</div> <div class="pos-detail-num-pair-pos__perc">5.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">440.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">47</div> <div class="pos-detail-num-pair-pos__perc">3.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">576.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">47</div> <div class="pos-detail-num-pair-pos__perc">3.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">50</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">240.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">38</div> <div class="pos-detail-num-pair-pos__perc">2.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">31</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">484.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">34</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">34</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">528.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">33</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">32</div> <div class="pos-detail-num-pair-pos__perc">2.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">288.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">400.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">33</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">264.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">480.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">31</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">308.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">420.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">280.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">672.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">81</div> <div class="pos-detail-num-pair-pos__perc">5.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">76</div> <div class="pos-detail-num-pair-pos__perc">5.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">160.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">164.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">180.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">186.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">189.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">192.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">198.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">205.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">208.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">210.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">213.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">220.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1418.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1390.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1356.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1248.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1220.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1166.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1134.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1069.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1053.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1052.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1043.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1025.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1020.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1014.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">995.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f56" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f56" data-rollover-span="rollover-f56"></div> <div class="selector selector__bottom" data-detail-div="detail-f56" data-rollover-span="rollover-f56"></div> <div class="selector selector__top" data-detail-div="detail-f56" data-rollover-span="rollover-f56"></div> <span class="bg-tab-summary" style="z-index: -19888"></span> <span class="bg-tab-summary-rollover" id="rollover-f56" style="z-index: -19887"></span> <div class="summary-number" > 57 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">MasVnrArea</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 327 </div> <div class="text-value color-source pos-base-stats__source-perc"> (22%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 303 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (21%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 869 </div> <div class="text-value color-source pos-base-stats__source-perc"> (60%) </div> <div class="text-value color-compare pos-base-stats__compare"> 892 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (61%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">1,600</div> <div class="pos-summary-numeric-compare text-value color-compare">1,290</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">456</div> <div class="pos-summary-numeric-compare text-value color-compare">474</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">164</div> <div class="pos-summary-numeric-compare text-value color-compare">162</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">103</div> <div class="pos-summary-numeric-compare text-value color-compare">100</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">1,600</div> <div class="pos-summary-numeric-compare text-value color-compare">1,290</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">164</div> <div class="pos-summary-numeric-compare text-value color-compare">162</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">181</div> <div class="pos-summary-numeric-compare text-value color-compare">177</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">32,664</div> <div class="pos-summary-numeric-compare text-value color-compare">31,330</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">10.1</div> <div class="pos-summary-numeric-compare text-value color-compare">8.48</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">2.68</div> <div class="pos-summary-numeric-compare text-value color-compare">2.55</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">151k</div> <div class="pos-summary-numeric-compare text-value color-compare">145k</div> </div> </div> <span class="minigraph-f56 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f56" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f56" data-new_class="detail_graph-f56-0">Auto </button> <button class="button-bin" data-target="detail_graph-f56" data-new_class="detail_graph-f56-5">5 </button> <button class="button-bin" data-target="detail_graph-f56" data-new_class="detail_graph-f56-15">15 </button> <button class="button-bin" data-target="detail_graph-f56" data-new_class="detail_graph-f56-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f56-0 pos-detail-num-graph" id="detail_graph-f56"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f56"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">MasVnrArea</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.97</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">869</div> <div class="pos-detail-num-pair-pos__perc">59.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">892</div> <div class="pos-detail-num-pair-pos__perc">61.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">180.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">108.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">340.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">106.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">132.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">320.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">360.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">84.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">170.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">869</div> <div class="pos-detail-num-pair-pos__perc">59.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">892</div> <div class="pos-detail-num-pair-pos__perc">61.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">18.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">22.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">27.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">28.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">31.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">34.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1600.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1378.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1170.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1129.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1115.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1047.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1031.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">975.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">922.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">921.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">894.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">870.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">860.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">816.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">796.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f57" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f57" data-rollover-span="rollover-f57"></div> <div class="selector selector__bottom" data-detail-div="detail-f57" data-rollover-span="rollover-f57"></div> <div class="selector selector__top" data-detail-div="detail-f57" data-rollover-span="rollover-f57"></div> <span class="bg-tab-summary" style="z-index: -19886"></span> <span class="bg-tab-summary-rollover" id="rollover-f57" style="z-index: -19885"></span> <div class="summary-number" > 58 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">LotFrontage</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 357 </div> <div class="text-value color-source pos-base-stats__source-perc"> (24%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 328 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (22%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">313</div> <div class="pos-summary-numeric-compare text-value color-compare">212</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">105</div> <div class="pos-summary-numeric-compare text-value color-compare">105</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">80</div> <div class="pos-summary-numeric-compare text-value color-compare">80</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">71</div> <div class="pos-summary-numeric-compare text-value color-compare">69</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">70</div> <div class="pos-summary-numeric-compare text-value color-compare">69</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">60</div> <div class="pos-summary-numeric-compare text-value color-compare">60</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">35</div> <div class="pos-summary-numeric-compare text-value color-compare">32</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">21</div> <div class="pos-summary-numeric-compare text-value color-compare">21</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">292</div> <div class="pos-summary-numeric-compare text-value color-compare">191</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">20.0</div> <div class="pos-summary-numeric-compare text-value color-compare">20.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">24.4</div> <div class="pos-summary-numeric-compare text-value color-compare">21.6</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">595</div> <div class="pos-summary-numeric-compare text-value color-compare">465</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">21.1</div> <div class="pos-summary-numeric-compare text-value color-compare">4.01</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">2.63</div> <div class="pos-summary-numeric-compare text-value color-compare">0.787</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">103k</div> <div class="pos-summary-numeric-compare text-value color-compare">101k</div> </div> </div> <span class="minigraph-f57 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f57" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f57" data-new_class="detail_graph-f57-0">Auto </button> <button class="button-bin" data-target="detail_graph-f57" data-new_class="detail_graph-f57-5">5 </button> <button class="button-bin" data-target="detail_graph-f57" data-new_class="detail_graph-f57-15">15 </button> <button class="button-bin" data-target="detail_graph-f57" data-new_class="detail_graph-f57-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f57-0 pos-detail-num-graph" id="detail_graph-f57"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f57"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">LotFrontage</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_TwnhsE</div> <div class="pos-assoc-row__source text-label color-red">-0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">60.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">143</div> <div class="pos-detail-num-pair-pos__perc">9.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">133</div> <div class="pos-detail-num-pair-pos__perc">9.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">70.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">70</div> <div class="pos-detail-num-pair-pos__perc">4.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">63</div> <div class="pos-detail-num-pair-pos__perc">4.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">69</div> <div class="pos-detail-num-pair-pos__perc">4.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">68</div> <div class="pos-detail-num-pair-pos__perc">4.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">50.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">57</div> <div class="pos-detail-num-pair-pos__perc">3.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">60</div> <div class="pos-detail-num-pair-pos__perc">4.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">75.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">53</div> <div class="pos-detail-num-pair-pos__perc">3.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">52</div> <div class="pos-detail-num-pair-pos__perc">3.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">65.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">44</div> <div class="pos-detail-num-pair-pos__perc">3.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">85.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">40</div> <div class="pos-detail-num-pair-pos__perc">2.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">36</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">78.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">90.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">21.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">68.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">64.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">73.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">79.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">21.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">31.29657158330998</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">31.464244908847377</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">33.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">33.51543817216778</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">34.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">34.4498113007673</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">34.979249543042634</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">34.991419381186475</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">34.995475993901096</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">35.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">313.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">279.3487330232279</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">271.6697531208638</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">212.37424507134452</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">182.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">174.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">168.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">160.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">153.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">152.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">150.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">149.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">141.0521766721865</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">141.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f58" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f58" data-rollover-span="rollover-f58"></div> <div class="selector selector__bottom" data-detail-div="detail-f58" data-rollover-span="rollover-f58"></div> <div class="selector selector__top" data-detail-div="detail-f58" data-rollover-span="rollover-f58"></div> <span class="bg-tab-summary" style="z-index: -19884"></span> <span class="bg-tab-summary-rollover" id="rollover-f58" style="z-index: -19883"></span> <div class="summary-number" > 59 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">MiscVal</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 21 </div> <div class="text-value color-source pos-base-stats__source-perc"> (1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 26 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (2%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,408 </div> <div class="text-value color-source pos-base-stats__source-perc"> (96%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,408 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (97%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">15,500</div> <div class="pos-summary-numeric-compare text-value color-compare">17,000</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">43</div> <div class="pos-summary-numeric-compare text-value color-compare">58</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">15,500</div> <div class="pos-summary-numeric-compare text-value color-compare">17,000</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">496</div> <div class="pos-summary-numeric-compare text-value color-compare">631</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">246k</div> <div class="pos-summary-numeric-compare text-value color-compare">398k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">701</div> <div class="pos-summary-numeric-compare text-value color-compare">472</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">24.5</div> <div class="pos-summary-numeric-compare text-value color-compare">20.1</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">63,494</div> <div class="pos-summary-numeric-compare text-value color-compare">84,867</div> </div> </div> <span class="minigraph-f58 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f58" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f58" data-new_class="detail_graph-f58-0">Auto </button> <button class="button-bin" data-target="detail_graph-f58" data-new_class="detail_graph-f58-5">5 </button> <button class="button-bin" data-target="detail_graph-f58" data-new_class="detail_graph-f58-15">15 </button> <button class="button-bin" data-target="detail_graph-f58" data-new_class="detail_graph-f58-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f58-0 pos-detail-num-graph" id="detail_graph-f58"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f58"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">MiscVal</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-red">-0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ScreenPorch</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-red">-0.03</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MiscFeature</div> <div class="pos-assoc-row__source text-label color-source">0.94</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterCond</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,408</div> <div class="pos-detail-num-pair-pos__perc">96.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,408</div> <div class="pos-detail-num-pair-pos__perc">96.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">400.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">700.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">450.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">600.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2000.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">480.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">800.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">350.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1300.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">54.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,408</div> <div class="pos-detail-num-pair-pos__perc">96.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,408</div> <div class="pos-detail-num-pair-pos__perc">96.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">54.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">350.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">400.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">450.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">480.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">560.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">600.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">620.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">700.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">800.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1150.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1300.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8300.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2000.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1400.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1300.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1150.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">800.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">700.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">620.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">600.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">560.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f59" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f59" data-rollover-span="rollover-f59"></div> <div class="selector selector__bottom" data-detail-div="detail-f59" data-rollover-span="rollover-f59"></div> <div class="selector selector__top" data-detail-div="detail-f59" data-rollover-span="rollover-f59"></div> <span class="bg-tab-summary" style="z-index: -19882"></span> <span class="bg-tab-summary-rollover" id="rollover-f59" style="z-index: -19881"></span> <div class="summary-number" > 60 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">CentralAir</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 2 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 2 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f59 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f59"> <div class="container-feature-detail__offset"> <span class="detail_graph-f59- pos-detail-cat-graph" id="detail_graph-f59" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f59" style="top: 204.0px;"> <!-- height: 706.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 60px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 141px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">True</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,365</div> <div class="pair-pos__perc">93%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,358</div> <div class="pair-pos__perc">93%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">False</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">95</div> <div class="pair-pos__perc">7%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">101</div> <div class="pair-pos__perc">7%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-59"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f59"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f59"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">CentralAir<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HeatingQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON CentralAir:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Electrical</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">CentralAir<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f60" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f60" data-rollover-span="rollover-f60"></div> <div class="selector selector__bottom" data-detail-div="detail-f60" data-rollover-span="rollover-f60"></div> <div class="selector selector__top" data-detail-div="detail-f60" data-rollover-span="rollover-f60"></div> <span class="bg-tab-summary" style="z-index: -19880"></span> <span class="bg-tab-summary-rollover" id="rollover-f60" style="z-index: -19879"></span> <div class="summary-number" > 61 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Neighborhood</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 25 </div> <div class="text-value color-source pos-base-stats__source-perc"> (2%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 25 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (2%) </div> </div> </div> <span class="minigraph-f60 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f60"> <div class="container-feature-detail__offset"> <span class="detail_graph-f60- pos-detail-cat-graph" id="detail_graph-f60" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f60" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 102px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 183px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">NAmes</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">225</div> <div class="pair-pos__perc">15%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">218</div> <div class="pair-pos__perc">15%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CollgCr</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">150</div> <div class="pair-pos__perc">10%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">117</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">OldTown</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">113</div> <div class="pair-pos__perc">8%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">126</div> <div class="pair-pos__perc">9%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Edwards</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">100</div> <div class="pair-pos__perc">7%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">94</div> <div class="pair-pos__perc">6%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Somerst</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">86</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">96</div> <div class="pair-pos__perc">7%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Gilbert</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">79</div> <div class="pair-pos__perc">5%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">86</div> <div class="pair-pos__perc">6%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">NridgHt</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">77</div> <div class="pair-pos__perc">5%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">89</div> <div class="pair-pos__perc">6%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Sawyer</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">74</div> <div class="pair-pos__perc">5%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">77</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">NWAmes</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">73</div> <div class="pair-pos__perc">5%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">58</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">SawyerW</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">59</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">66</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">BrkSide</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">58</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">50</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Crawfor</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">51</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">52</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Mitchel</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">49</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">65</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">NoRidge</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">41</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">30</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Timber</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">38</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">34</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">IDOTRR</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">37</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">56</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 11.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ClearCr</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">28</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">16</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;"> (Other)</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">122</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 102px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 102px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 183px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 279px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-60"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f60"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f60"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Neighborhood<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Neighborhood:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Neighborhood<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">1.00</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.88</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.78</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.72</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_TwnhsE</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f61" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f61" data-rollover-span="rollover-f61"></div> <div class="selector selector__bottom" data-detail-div="detail-f61" data-rollover-span="rollover-f61"></div> <div class="selector selector__top" data-detail-div="detail-f61" data-rollover-span="rollover-f61"></div> <span class="bg-tab-summary" style="z-index: -19878"></span> <span class="bg-tab-summary-rollover" id="rollover-f61" style="z-index: -19877"></span> <div class="summary-number" > 62 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">MSZoning</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 6 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 6 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f61 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f61"> <div class="container-feature-detail__offset"> <span class="detail_graph-f61- pos-detail-cat-graph" id="detail_graph-f61" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f61" style="top: 443.99999999999994px;"> <!-- height: 466.00000000000006px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,151</div> <div class="pair-pos__perc">79%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,114</div> <div class="pair-pos__perc">76%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RM</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">218</div> <div class="pair-pos__perc">15%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">242</div> <div class="pair-pos__perc">17%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">FV</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">65</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">74</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RH</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">16</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">C (all)</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">15</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 11.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Missing</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-61"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f61"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f61"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">MSZoning<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON MSZoning:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Alley</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">MSZoning<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f62" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f62" data-rollover-span="rollover-f62"></div> <div class="selector selector__bottom" data-detail-div="detail-f62" data-rollover-span="rollover-f62"></div> <div class="selector selector__top" data-detail-div="detail-f62" data-rollover-span="rollover-f62"></div> <span class="bg-tab-summary" style="z-index: -19876"></span> <span class="bg-tab-summary-rollover" id="rollover-f62" style="z-index: -19875"></span> <div class="summary-number" > 63 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Street</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 2 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 2 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f62 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f62"> <div class="container-feature-detail__offset"> <span class="detail_graph-f62- pos-detail-cat-graph" id="detail_graph-f62" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f62" style="top: 204.0px;"> <!-- height: 706.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 54px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 135px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Pave</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,454</div> <div class="pair-pos__perc">>99%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,453</div> <div class="pair-pos__perc">>99%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Grvl</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-62"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f62"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f62"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Street<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LandContour<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.00</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Street:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MiscFeature</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandContour</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Street<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f63" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f63" data-rollover-span="rollover-f63"></div> <div class="selector selector__bottom" data-detail-div="detail-f63" data-rollover-span="rollover-f63"></div> <div class="selector selector__top" data-detail-div="detail-f63" data-rollover-span="rollover-f63"></div> <span class="bg-tab-summary" style="z-index: -19874"></span> <span class="bg-tab-summary-rollover" id="rollover-f63" style="z-index: -19873"></span> <div class="summary-number" > 64 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">LotConfig</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f63 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f63"> <div class="container-feature-detail__offset"> <span class="detail_graph-f63- pos-detail-cat-graph" id="detail_graph-f63" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f63" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 72px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 153px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Inside</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,052</div> <div class="pair-pos__perc">72%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,081</div> <div class="pair-pos__perc">74%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Corner</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">263</div> <div class="pair-pos__perc">18%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">248</div> <div class="pair-pos__perc">17%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">CulDSac</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">94</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">82</div> <div class="pair-pos__perc">6%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">FR2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">47</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">38</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">FR3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">10</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 72px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 72px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 153px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 249px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-63"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f63"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f63"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">LotConfig<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LotShape<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON LotConfig:</div> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition1</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">LotConfig<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f64" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f64" data-rollover-span="rollover-f64"></div> <div class="selector selector__bottom" data-detail-div="detail-f64" data-rollover-span="rollover-f64"></div> <div class="selector selector__top" data-detail-div="detail-f64" data-rollover-span="rollover-f64"></div> <span class="bg-tab-summary" style="z-index: -19872"></span> <span class="bg-tab-summary-rollover" id="rollover-f64" style="z-index: -19871"></span> <div class="summary-number" > 65 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Condition1</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 9 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 9 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f64 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f64"> <div class="container-feature-detail__offset"> <span class="detail_graph-f64- pos-detail-cat-graph" id="detail_graph-f64" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f64" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 66px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 147px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Norm</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,260</div> <div class="pair-pos__perc">86%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,251</div> <div class="pair-pos__perc">86%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Feedr</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">81</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">83</div> <div class="pair-pos__perc">6%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Artery</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">48</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">44</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RRAn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">26</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">24</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PosN</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">19</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">20</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RRAe</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">11</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">17</div> <div class="pair-pos__perc">1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PosA</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">8</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">12</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RRNn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RRNe</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-64"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f64"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f64"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Condition1<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Alley<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LotConfig<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Condition1:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition2</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LotConfig</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Condition1<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">3SsnPorch</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f65" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f65" data-rollover-span="rollover-f65"></div> <div class="selector selector__bottom" data-detail-div="detail-f65" data-rollover-span="rollover-f65"></div> <div class="selector selector__top" data-detail-div="detail-f65" data-rollover-span="rollover-f65"></div> <span class="bg-tab-summary" style="z-index: -19870"></span> <span class="bg-tab-summary-rollover" id="rollover-f65" style="z-index: -19869"></span> <div class="summary-number" > 66 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Condition2</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 8 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 8 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f65 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f65"> <div class="container-feature-detail__offset"> <span class="detail_graph-f65- pos-detail-cat-graph" id="detail_graph-f65" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f65" style="top: 564.0px;"> <!-- height: 346.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 66px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 147px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Norm</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,445</div> <div class="pair-pos__perc">99%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,444</div> <div class="pair-pos__perc">99%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Feedr</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">Artery</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PosN</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RRNn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.4 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">PosA</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RRAe</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">RRAn</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 66px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 66px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 147px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 243px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-65"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f65"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f65"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Condition2<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSZoning<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LandContour<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Condition2:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition1</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Condition2<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MiscVal</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f66" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f66" data-rollover-span="rollover-f66"></div> <div class="selector selector__bottom" data-detail-div="detail-f66" data-rollover-span="rollover-f66"></div> <div class="selector selector__top" data-detail-div="detail-f66" data-rollover-span="rollover-f66"></div> <span class="bg-tab-summary" style="z-index: -19868"></span> <span class="bg-tab-summary-rollover" id="rollover-f66" style="z-index: -19867"></span> <div class="summary-number" > 67 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">FullBath</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f66 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f66"> <div class="container-feature-detail__offset"> <span class="detail_graph-f66- pos-detail-cat-graph" id="detail_graph-f66" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f66" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">768</div> <div class="pair-pos__perc">53%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">762</div> <div class="pair-pos__perc">52%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">650</div> <div class="pair-pos__perc">45%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">659</div> <div class="pair-pos__perc">45%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">33</div> <div class="pair-pos__perc">2%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">31</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">9</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">3</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-66"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f66"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f66"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">FullBath<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON FullBath:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">FullBath<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f67" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f67" data-rollover-span="rollover-f67"></div> <div class="selector selector__bottom" data-detail-div="detail-f67" data-rollover-span="rollover-f67"></div> <div class="selector selector__top" data-detail-div="detail-f67" data-rollover-span="rollover-f67"></div> <span class="bg-tab-summary" style="z-index: -19866"></span> <span class="bg-tab-summary-rollover" id="rollover-f67" style="z-index: -19865"></span> <div class="summary-number" > 68 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">HalfBath</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 3 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 3 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f67 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f67"> <div class="container-feature-detail__offset"> <span class="detail_graph-f67- pos-detail-cat-graph" id="detail_graph-f67" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f67" style="top: 264.0px;"> <!-- height: 646.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">913</div> <div class="pair-pos__perc">63%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">921</div> <div class="pair-pos__perc">63%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">535</div> <div class="pair-pos__perc">37%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">525</div> <div class="pair-pos__perc">36%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">12</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">13</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-67"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f67"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f67"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">HalfBath<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BedroomAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON HalfBath:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">HalfBath<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f68" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f68" data-rollover-span="rollover-f68"></div> <div class="selector selector__bottom" data-detail-div="detail-f68" data-rollover-span="rollover-f68"></div> <div class="selector selector__top" data-detail-div="detail-f68" data-rollover-span="rollover-f68"></div> <span class="bg-tab-summary" style="z-index: -19864"></span> <span class="bg-tab-summary-rollover" id="rollover-f68" style="z-index: -19863"></span> <div class="summary-number" > 69 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BedroomAbvGr</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 8 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 7 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f68 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f68"> <div class="container-feature-detail__offset"> <span class="detail_graph-f68- pos-detail-cat-graph" id="detail_graph-f68" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f68" style="top: 564.0px;"> <!-- height: 346.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">804</div> <div class="pair-pos__perc">55%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">792</div> <div class="pair-pos__perc">54%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">358</div> <div class="pair-pos__perc">25%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">384</div> <div class="pair-pos__perc">26%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">213</div> <div class="pair-pos__perc">15%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">187</div> <div class="pair-pos__perc">13%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">50</div> <div class="pair-pos__perc">3%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">53</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">21</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">27</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">6</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">7</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">14</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">8</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-68"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f68"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f68"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BedroomAbvGr<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BedroomAbvGr:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BedroomAbvGr<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_TwnhsE</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LowQualFinSF</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f69" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f69" data-rollover-span="rollover-f69"></div> <div class="selector selector__bottom" data-detail-div="detail-f69" data-rollover-span="rollover-f69"></div> <div class="selector selector__top" data-detail-div="detail-f69" data-rollover-span="rollover-f69"></div> <span class="bg-tab-summary" style="z-index: -19862"></span> <span class="bg-tab-summary-rollover" id="rollover-f69" style="z-index: -19861"></span> <div class="summary-number" > 70 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">KitchenAbvGr</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 3 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f69 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f69"> <div class="container-feature-detail__offset"> <span class="detail_graph-f69- pos-detail-cat-graph" id="detail_graph-f69" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f69" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,392</div> <div class="pair-pos__perc">95%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,393</div> <div class="pair-pos__perc">95%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">65</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">64</div> <div class="pair-pos__perc">4%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-69"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f69"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f69"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">KitchenAbvGr<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BedroomAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON KitchenAbvGr:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.72</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">KitchenAbvGr<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.77</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f70" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f70" data-rollover-span="rollover-f70"></div> <div class="selector selector__bottom" data-detail-div="detail-f70" data-rollover-span="rollover-f70"></div> <div class="selector selector__top" data-detail-div="detail-f70" data-rollover-span="rollover-f70"></div> <span class="bg-tab-summary" style="z-index: -19860"></span> <span class="bg-tab-summary-rollover" id="rollover-f70" style="z-index: -19859"></span> <div class="summary-number" > 71 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">TotRmsAbvGrd</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 12 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 12 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">14.0</div> <div class="pos-summary-numeric-compare text-value color-compare">15.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">10.0</div> <div class="pos-summary-numeric-compare text-value color-compare">9.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">7.0</div> <div class="pos-summary-numeric-compare text-value color-compare">7.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">6.5</div> <div class="pos-summary-numeric-compare text-value color-compare">6.4</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">6.0</div> <div class="pos-summary-numeric-compare text-value color-compare">6.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">5.0</div> <div class="pos-summary-numeric-compare text-value color-compare">5.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">4.0</div> <div class="pos-summary-numeric-compare text-value color-compare">4.0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">2.0</div> <div class="pos-summary-numeric-compare text-value color-compare">3.0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">12.0</div> <div class="pos-summary-numeric-compare text-value color-compare">12.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">2.00</div> <div class="pos-summary-numeric-compare text-value color-compare">2.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.63</div> <div class="pos-summary-numeric-compare text-value color-compare">1.51</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">2.64</div> <div class="pos-summary-numeric-compare text-value color-compare">2.28</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">0.881</div> <div class="pos-summary-numeric-compare text-value color-compare">1.52</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">0.676</div> <div class="pos-summary-numeric-compare text-value color-compare">0.843</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">9,516</div> <div class="pos-summary-numeric-compare text-value color-compare">9,316</div> </div> </div> <span class="minigraph-f70 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f70" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f70" data-new_class="detail_graph-f70-0">Auto </button> <button class="button-bin" data-target="detail_graph-f70" data-new_class="detail_graph-f70-5">5 </button> <button class="button-bin" data-target="detail_graph-f70" data-new_class="detail_graph-f70-15">15 </button> <button class="button-bin" data-target="detail_graph-f70" data-new_class="detail_graph-f70-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f70-0 pos-detail-num-graph" id="detail_graph-f70"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f70"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">TotRmsAbvGrd</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.83</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-red">-0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.78</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">402</div> <div class="pos-detail-num-pair-pos__perc">27.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">442</div> <div class="pos-detail-num-pair-pos__perc">30.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">329</div> <div class="pos-detail-num-pair-pos__perc">22.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">320</div> <div class="pos-detail-num-pair-pos__perc">21.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">275</div> <div class="pos-detail-num-pair-pos__perc">18.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">308</div> <div class="pos-detail-num-pair-pos__perc">21.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">187</div> <div class="pos-detail-num-pair-pos__perc">12.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">160</div> <div class="pos-detail-num-pair-pos__perc">11.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">97</div> <div class="pos-detail-num-pair-pos__perc">6.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">99</div> <div class="pos-detail-num-pair-pos__perc">6.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">75</div> <div class="pos-detail-num-pair-pos__perc">5.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">68</div> <div class="pos-detail-num-pair-pos__perc">4.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">47</div> <div class="pos-detail-num-pair-pos__perc">3.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">33</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">97</div> <div class="pos-detail-num-pair-pos__perc">6.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">99</div> <div class="pos-detail-num-pair-pos__perc">6.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">275</div> <div class="pos-detail-num-pair-pos__perc">18.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">308</div> <div class="pos-detail-num-pair-pos__perc">21.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">402</div> <div class="pos-detail-num-pair-pos__perc">27.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">442</div> <div class="pos-detail-num-pair-pos__perc">30.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">329</div> <div class="pos-detail-num-pair-pos__perc">22.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">320</div> <div class="pos-detail-num-pair-pos__perc">21.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">187</div> <div class="pos-detail-num-pair-pos__perc">12.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">160</div> <div class="pos-detail-num-pair-pos__perc">11.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">75</div> <div class="pos-detail-num-pair-pos__perc">5.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">68</div> <div class="pos-detail-num-pair-pos__perc">4.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">47</div> <div class="pos-detail-num-pair-pos__perc">3.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">33</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">47</div> <div class="pos-detail-num-pair-pos__perc">3.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">33</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">75</div> <div class="pos-detail-num-pair-pos__perc">5.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">68</div> <div class="pos-detail-num-pair-pos__perc">4.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">187</div> <div class="pos-detail-num-pair-pos__perc">12.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">160</div> <div class="pos-detail-num-pair-pos__perc">11.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">329</div> <div class="pos-detail-num-pair-pos__perc">22.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">320</div> <div class="pos-detail-num-pair-pos__perc">21.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">402</div> <div class="pos-detail-num-pair-pos__perc">27.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">442</div> <div class="pos-detail-num-pair-pos__perc">30.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">275</div> <div class="pos-detail-num-pair-pos__perc">18.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">308</div> <div class="pos-detail-num-pair-pos__perc">21.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">97</div> <div class="pos-detail-num-pair-pos__perc">6.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">99</div> <div class="pos-detail-num-pair-pos__perc">6.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f71" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f71" data-rollover-span="rollover-f71"></div> <div class="selector selector__bottom" data-detail-div="detail-f71" data-rollover-span="rollover-f71"></div> <div class="selector selector__top" data-detail-div="detail-f71" data-rollover-span="rollover-f71"></div> <span class="bg-tab-summary" style="z-index: -19858"></span> <span class="bg-tab-summary-rollover" id="rollover-f71" style="z-index: -19857"></span> <div class="summary-number" > 72 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Fireplaces</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f71 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f71"> <div class="container-feature-detail__offset"> <span class="detail_graph-f71- pos-detail-cat-graph" id="detail_graph-f71" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f71" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">690</div> <div class="pair-pos__perc">47%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">730</div> <div class="pair-pos__perc">50%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">650</div> <div class="pair-pos__perc">45%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">618</div> <div class="pair-pos__perc">42%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">115</div> <div class="pair-pos__perc">8%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">104</div> <div class="pair-pos__perc">7%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">6</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-71"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f71"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f71"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Fireplaces<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Fireplaces:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.75</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Fireplaces<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f72" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f72" data-rollover-span="rollover-f72"></div> <div class="selector selector__bottom" data-detail-div="detail-f72" data-rollover-span="rollover-f72"></div> <div class="selector selector__top" data-detail-div="detail-f72" data-rollover-span="rollover-f72"></div> <span class="bg-tab-summary" style="z-index: -19856"></span> <span class="bg-tab-summary-rollover" id="rollover-f72" style="z-index: -19855"></span> <div class="summary-number" > 73 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BsmtFullBath</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 4 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f72 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f72"> <div class="container-feature-detail__offset"> <span class="detail_graph-f72- pos-detail-cat-graph" id="detail_graph-f72" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f72" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">856</div> <div class="pair-pos__perc">59%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">849</div> <div class="pair-pos__perc">58%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">588</div> <div class="pair-pos__perc">40%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">584</div> <div class="pair-pos__perc">40%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">15</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">23</div> <div class="pair-pos__perc">2%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">-1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-72"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f72"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f72"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtFullBath<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtHalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtExposure<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BsmtFullBath:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtFullBath<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f73" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f73" data-rollover-span="rollover-f73"></div> <div class="selector selector__bottom" data-detail-div="detail-f73" data-rollover-span="rollover-f73"></div> <div class="selector selector__top" data-detail-div="detail-f73" data-rollover-span="rollover-f73"></div> <span class="bg-tab-summary" style="z-index: -19854"></span> <span class="bg-tab-summary-rollover" id="rollover-f73" style="z-index: -19853"></span> <div class="summary-number" > 74 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">BsmtHalfBath</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 3 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 4 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f73 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f73"> <div class="container-feature-detail__offset"> <span class="detail_graph-f73- pos-detail-cat-graph" id="detail_graph-f73" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f73" style="top: 324.0px;"> <!-- height: 586.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,378</div> <div class="pair-pos__perc">94%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,364</div> <div class="pair-pos__perc">93%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">80</div> <div class="pair-pos__perc">5%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">91</div> <div class="pair-pos__perc">6%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">-1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">2</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-73"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f73"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f73"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtHalfBath<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LandSlope<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON BsmtHalfBath:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">BsmtHalfBath<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinSF2</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_TwnhsE</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f74" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f74" data-rollover-span="rollover-f74"></div> <div class="selector selector__bottom" data-detail-div="detail-f74" data-rollover-span="rollover-f74"></div> <div class="selector selector__top" data-detail-div="detail-f74" data-rollover-span="rollover-f74"></div> <span class="bg-tab-summary" style="z-index: -19852"></span> <span class="bg-tab-summary-rollover" id="rollover-f74" style="z-index: -19851"></span> <div class="summary-number" > 75 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">GarageCars</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 7 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f74 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f74"> <div class="container-feature-detail__offset"> <span class="detail_graph-f74- pos-detail-cat-graph" id="detail_graph-f74" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f74" style="top: 504.0px;"> <!-- height: 406.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">824</div> <div class="pair-pos__perc">56%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">770</div> <div class="pair-pos__perc">53%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">369</div> <div class="pair-pos__perc">25%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">407</div> <div class="pair-pos__perc">28%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.7 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">181</div> <div class="pair-pos__perc">12%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">193</div> <div class="pair-pos__perc">13%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">81</div> <div class="pair-pos__perc">6%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">76</div> <div class="pair-pos__perc">5%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">5</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">11</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">-1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">0</div> <div class="pair-pos__perc">0%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-74"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f74"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f74"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageCars<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON GarageCars:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">GarageCars<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.89</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.80</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.64</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f75" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f75" data-rollover-span="rollover-f75"></div> <div class="selector selector__bottom" data-detail-div="detail-f75" data-rollover-span="rollover-f75"></div> <div class="selector selector__top" data-detail-div="detail-f75" data-rollover-span="rollover-f75"></div> <span class="bg-tab-summary" style="z-index: -19850"></span> <span class="bg-tab-summary-rollover" id="rollover-f75" style="z-index: -19849"></span> <div class="summary-number" > 76 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">YearBuilt</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 112 </div> <div class="text-value color-source pos-base-stats__source-perc"> (8%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 106 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (7%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">2,010</div> <div class="pos-summary-numeric-compare text-value color-compare">2,010</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">2,007</div> <div class="pos-summary-numeric-compare text-value color-compare">2,007</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">2,000</div> <div class="pos-summary-numeric-compare text-value color-compare">2,001</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">1,973</div> <div class="pos-summary-numeric-compare text-value color-compare">1,973</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">1,971</div> <div class="pos-summary-numeric-compare text-value color-compare">1,971</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1,954</div> <div class="pos-summary-numeric-compare text-value color-compare">1,953</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">1,916</div> <div class="pos-summary-numeric-compare text-value color-compare">1,915</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1,872</div> <div class="pos-summary-numeric-compare text-value color-compare">1,879</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">138</div> <div class="pos-summary-numeric-compare text-value color-compare">131</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">46.0</div> <div class="pos-summary-numeric-compare text-value color-compare">48.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">30.2</div> <div class="pos-summary-numeric-compare text-value color-compare">30.4</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">912</div> <div class="pos-summary-numeric-compare text-value color-compare">924</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">-0.440</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.579</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">-0.613</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.588</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">2.9M</div> <div class="pos-summary-numeric-compare text-value color-compare">2.9M</div> </div> </div> <span class="minigraph-f75 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f75" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f75" data-new_class="detail_graph-f75-0">Auto </button> <button class="button-bin" data-target="detail_graph-f75" data-new_class="detail_graph-f75-5">5 </button> <button class="button-bin" data-target="detail_graph-f75" data-new_class="detail_graph-f75-15">15 </button> <button class="button-bin" data-target="detail_graph-f75" data-new_class="detail_graph-f75-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f75-0 pos-detail-num-graph" id="detail_graph-f75"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f75"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">YearBuilt</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-red">-0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-red">-0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-red">-0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.88</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.81</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.75</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2006</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">67</div> <div class="pos-detail-num-pair-pos__perc">4.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">71</div> <div class="pos-detail-num-pair-pos__perc">4.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2005</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">64</div> <div class="pos-detail-num-pair-pos__perc">4.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">78</div> <div class="pos-detail-num-pair-pos__perc">5.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2004</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">54</div> <div class="pos-detail-num-pair-pos__perc">3.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">45</div> <div class="pos-detail-num-pair-pos__perc">3.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2007</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">60</div> <div class="pos-detail-num-pair-pos__perc">4.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2003</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">45</div> <div class="pos-detail-num-pair-pos__perc">3.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">43</div> <div class="pos-detail-num-pair-pos__perc">2.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1976</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">33</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1977</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">32</div> <div class="pos-detail-num-pair-pos__perc">2.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1920</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1959</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">26</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1998</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1965</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2000</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1970</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1954</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1872</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1875</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1880</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1882</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1885</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1890</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1892</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1893</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1898</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1900</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1904</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1905</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1906</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1908</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1910</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">26</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2010</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2009</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2008</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">26</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2007</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">60</div> <div class="pos-detail-num-pair-pos__perc">4.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2006</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">67</div> <div class="pos-detail-num-pair-pos__perc">4.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">71</div> <div class="pos-detail-num-pair-pos__perc">4.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2005</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">64</div> <div class="pos-detail-num-pair-pos__perc">4.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">78</div> <div class="pos-detail-num-pair-pos__perc">5.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2004</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">54</div> <div class="pos-detail-num-pair-pos__perc">3.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">45</div> <div class="pos-detail-num-pair-pos__perc">3.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2003</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">45</div> <div class="pos-detail-num-pair-pos__perc">3.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">43</div> <div class="pos-detail-num-pair-pos__perc">2.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2002</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2001</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2000</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1998</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1997</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1996</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f76" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f76" data-rollover-span="rollover-f76"></div> <div class="selector selector__bottom" data-detail-div="detail-f76" data-rollover-span="rollover-f76"></div> <div class="selector selector__top" data-detail-div="detail-f76" data-rollover-span="rollover-f76"></div> <span class="bg-tab-summary" style="z-index: -19848"></span> <span class="bg-tab-summary-rollover" id="rollover-f76" style="z-index: -19847"></span> <div class="summary-number" > 77 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">YearRemodAdd</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 61 </div> <div class="text-value color-source pos-base-stats__source-perc"> (4%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 61 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (4%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">2,010.0</div> <div class="pos-summary-numeric-compare text-value color-compare">2,010.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">2,007.0</div> <div class="pos-summary-numeric-compare text-value color-compare">2,007.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">2,004.0</div> <div class="pos-summary-numeric-compare text-value color-compare">2,004.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">1,994.0</div> <div class="pos-summary-numeric-compare text-value color-compare">1,992.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">1,984.9</div> <div class="pos-summary-numeric-compare text-value color-compare">1,983.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1,967.0</div> <div class="pos-summary-numeric-compare text-value color-compare">1,963.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">1,950.0</div> <div class="pos-summary-numeric-compare text-value color-compare">1,950.0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1,950.0</div> <div class="pos-summary-numeric-compare text-value color-compare">1,950.0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">60.0</div> <div class="pos-summary-numeric-compare text-value color-compare">60.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">37.0</div> <div class="pos-summary-numeric-compare text-value color-compare">41.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">20.6</div> <div class="pos-summary-numeric-compare text-value color-compare">21.1</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">426</div> <div class="pos-summary-numeric-compare text-value color-compare">446</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">-1.27</div> <div class="pos-summary-numeric-compare text-value color-compare">-1.41</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">-0.504</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.400</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">2.9M</div> <div class="pos-summary-numeric-compare text-value color-compare">2.9M</div> </div> </div> <span class="minigraph-f76 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f76" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f76" data-new_class="detail_graph-f76-0">Auto </button> <button class="button-bin" data-target="detail_graph-f76" data-new_class="detail_graph-f76-5">5 </button> <button class="button-bin" data-target="detail_graph-f76" data-new_class="detail_graph-f76-15">15 </button> <button class="button-bin" data-target="detail_graph-f76" data-new_class="detail_graph-f76-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f76-0 pos-detail-num-graph" id="detail_graph-f76"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f76"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">YearRemodAdd</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-red">-0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.24</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1950</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">178</div> <div class="pos-detail-num-pair-pos__perc">12.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">183</div> <div class="pos-detail-num-pair-pos__perc">12.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2006</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">97</div> <div class="pos-detail-num-pair-pos__perc">6.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">105</div> <div class="pos-detail-num-pair-pos__perc">7.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2007</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">76</div> <div class="pos-detail-num-pair-pos__perc">5.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">88</div> <div class="pos-detail-num-pair-pos__perc">6.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2005</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">73</div> <div class="pos-detail-num-pair-pos__perc">5.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">68</div> <div class="pos-detail-num-pair-pos__perc">4.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2004</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">62</div> <div class="pos-detail-num-pair-pos__perc">4.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2000</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">55</div> <div class="pos-detail-num-pair-pos__perc">3.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2003</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">51</div> <div class="pos-detail-num-pair-pos__perc">3.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">48</div> <div class="pos-detail-num-pair-pos__perc">3.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2002</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">48</div> <div class="pos-detail-num-pair-pos__perc">3.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">34</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2008</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">40</div> <div class="pos-detail-num-pair-pos__perc">2.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">41</div> <div class="pos-detail-num-pair-pos__perc">2.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1996</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">36</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1998</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">36</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">41</div> <div class="pos-detail-num-pair-pos__perc">2.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1995</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">31</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1976</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1970</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">26</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1950</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">178</div> <div class="pos-detail-num-pair-pos__perc">12.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">183</div> <div class="pos-detail-num-pair-pos__perc">12.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1951</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1952</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1953</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1954</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1955</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1956</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1957</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1958</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1959</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1960</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1961</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1962</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1963</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1964</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2010</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2009</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2008</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">40</div> <div class="pos-detail-num-pair-pos__perc">2.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">41</div> <div class="pos-detail-num-pair-pos__perc">2.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2007</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">76</div> <div class="pos-detail-num-pair-pos__perc">5.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">88</div> <div class="pos-detail-num-pair-pos__perc">6.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2006</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">97</div> <div class="pos-detail-num-pair-pos__perc">6.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">105</div> <div class="pos-detail-num-pair-pos__perc">7.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2005</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">73</div> <div class="pos-detail-num-pair-pos__perc">5.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">68</div> <div class="pos-detail-num-pair-pos__perc">4.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2004</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">62</div> <div class="pos-detail-num-pair-pos__perc">4.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2003</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">51</div> <div class="pos-detail-num-pair-pos__perc">3.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">48</div> <div class="pos-detail-num-pair-pos__perc">3.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2002</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">48</div> <div class="pos-detail-num-pair-pos__perc">3.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">34</div> <div class="pos-detail-num-pair-pos__perc">2.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2001</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2000</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">55</div> <div class="pos-detail-num-pair-pos__perc">3.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1998</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">36</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">41</div> <div class="pos-detail-num-pair-pos__perc">2.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1997</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1996</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">36</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f77" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f77" data-rollover-span="rollover-f77"></div> <div class="selector selector__bottom" data-detail-div="detail-f77" data-rollover-span="rollover-f77"></div> <div class="selector selector__top" data-detail-div="detail-f77" data-rollover-span="rollover-f77"></div> <span class="bg-tab-summary" style="z-index: -19846"></span> <span class="bg-tab-summary-rollover" id="rollover-f77" style="z-index: -19845"></span> <div class="summary-number" > 78 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">MoSold</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 12 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 12 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">12.0</div> <div class="pos-summary-numeric-compare text-value color-compare">12.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">11.0</div> <div class="pos-summary-numeric-compare text-value color-compare">11.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">8.0</div> <div class="pos-summary-numeric-compare text-value color-compare">8.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">6.3</div> <div class="pos-summary-numeric-compare text-value color-compare">6.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">6.0</div> <div class="pos-summary-numeric-compare text-value color-compare">6.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">5.0</div> <div class="pos-summary-numeric-compare text-value color-compare">4.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">2.0</div> <div class="pos-summary-numeric-compare text-value color-compare">2.0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1.0</div> <div class="pos-summary-numeric-compare text-value color-compare">1.0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">11.0</div> <div class="pos-summary-numeric-compare text-value color-compare">11.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">3.00</div> <div class="pos-summary-numeric-compare text-value color-compare">4.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">2.70</div> <div class="pos-summary-numeric-compare text-value color-compare">2.72</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">7.31</div> <div class="pos-summary-numeric-compare text-value color-compare">7.41</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">-0.404</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.508</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">0.212</div> <div class="pos-summary-numeric-compare text-value color-compare">0.183</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">9,230</div> <div class="pos-summary-numeric-compare text-value color-compare">8,906</div> </div> </div> <span class="minigraph-f77 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f77" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f77" data-new_class="detail_graph-f77-0">Auto </button> <button class="button-bin" data-target="detail_graph-f77" data-new_class="detail_graph-f77-5">5 </button> <button class="button-bin" data-target="detail_graph-f77" data-new_class="detail_graph-f77-15">15 </button> <button class="button-bin" data-target="detail_graph-f77" data-new_class="detail_graph-f77-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f77-0 pos-detail-num-graph" id="detail_graph-f77"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f77"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">MoSold</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-red">-0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row-target " > <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_2fmCon</div> <div class="pos-assoc-row__source text-label color-red">-0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-red">-0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YrSold</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleType</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LandContour</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">253</div> <div class="pos-detail-num-pair-pos__perc">17.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">250</div> <div class="pos-detail-num-pair-pos__perc">17.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">234</div> <div class="pos-detail-num-pair-pos__perc">16.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">212</div> <div class="pos-detail-num-pair-pos__perc">14.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">204</div> <div class="pos-detail-num-pair-pos__perc">14.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">190</div> <div class="pos-detail-num-pair-pos__perc">13.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">141</div> <div class="pos-detail-num-pair-pos__perc">9.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">138</div> <div class="pos-detail-num-pair-pos__perc">9.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">122</div> <div class="pos-detail-num-pair-pos__perc">8.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">111</div> <div class="pos-detail-num-pair-pos__perc">7.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">106</div> <div class="pos-detail-num-pair-pos__perc">7.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">126</div> <div class="pos-detail-num-pair-pos__perc">8.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">89</div> <div class="pos-detail-num-pair-pos__perc">6.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">84</div> <div class="pos-detail-num-pair-pos__perc">5.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">79</div> <div class="pos-detail-num-pair-pos__perc">5.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">63</div> <div class="pos-detail-num-pair-pos__perc">4.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">63</div> <div class="pos-detail-num-pair-pos__perc">4.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">95</div> <div class="pos-detail-num-pair-pos__perc">6.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">59</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">45</div> <div class="pos-detail-num-pair-pos__perc">3.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">58</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">64</div> <div class="pos-detail-num-pair-pos__perc">4.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">52</div> <div class="pos-detail-num-pair-pos__perc">3.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">81</div> <div class="pos-detail-num-pair-pos__perc">5.6%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">58</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">64</div> <div class="pos-detail-num-pair-pos__perc">4.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">52</div> <div class="pos-detail-num-pair-pos__perc">3.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">81</div> <div class="pos-detail-num-pair-pos__perc">5.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">106</div> <div class="pos-detail-num-pair-pos__perc">7.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">126</div> <div class="pos-detail-num-pair-pos__perc">8.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">141</div> <div class="pos-detail-num-pair-pos__perc">9.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">138</div> <div class="pos-detail-num-pair-pos__perc">9.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">204</div> <div class="pos-detail-num-pair-pos__perc">14.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">190</div> <div class="pos-detail-num-pair-pos__perc">13.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">253</div> <div class="pos-detail-num-pair-pos__perc">17.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">250</div> <div class="pos-detail-num-pair-pos__perc">17.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">234</div> <div class="pos-detail-num-pair-pos__perc">16.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">212</div> <div class="pos-detail-num-pair-pos__perc">14.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">122</div> <div class="pos-detail-num-pair-pos__perc">8.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">111</div> <div class="pos-detail-num-pair-pos__perc">7.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">63</div> <div class="pos-detail-num-pair-pos__perc">4.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">95</div> <div class="pos-detail-num-pair-pos__perc">6.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">89</div> <div class="pos-detail-num-pair-pos__perc">6.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">84</div> <div class="pos-detail-num-pair-pos__perc">5.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">79</div> <div class="pos-detail-num-pair-pos__perc">5.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">63</div> <div class="pos-detail-num-pair-pos__perc">4.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">59</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">45</div> <div class="pos-detail-num-pair-pos__perc">3.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">59</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">45</div> <div class="pos-detail-num-pair-pos__perc">3.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">79</div> <div class="pos-detail-num-pair-pos__perc">5.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">63</div> <div class="pos-detail-num-pair-pos__perc">4.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">89</div> <div class="pos-detail-num-pair-pos__perc">6.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">84</div> <div class="pos-detail-num-pair-pos__perc">5.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">63</div> <div class="pos-detail-num-pair-pos__perc">4.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">95</div> <div class="pos-detail-num-pair-pos__perc">6.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">122</div> <div class="pos-detail-num-pair-pos__perc">8.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">111</div> <div class="pos-detail-num-pair-pos__perc">7.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">234</div> <div class="pos-detail-num-pair-pos__perc">16.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">212</div> <div class="pos-detail-num-pair-pos__perc">14.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">253</div> <div class="pos-detail-num-pair-pos__perc">17.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">250</div> <div class="pos-detail-num-pair-pos__perc">17.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">204</div> <div class="pos-detail-num-pair-pos__perc">14.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">190</div> <div class="pos-detail-num-pair-pos__perc">13.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">141</div> <div class="pos-detail-num-pair-pos__perc">9.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">138</div> <div class="pos-detail-num-pair-pos__perc">9.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">106</div> <div class="pos-detail-num-pair-pos__perc">7.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">126</div> <div class="pos-detail-num-pair-pos__perc">8.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">52</div> <div class="pos-detail-num-pair-pos__perc">3.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">81</div> <div class="pos-detail-num-pair-pos__perc">5.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">58</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">64</div> <div class="pos-detail-num-pair-pos__perc">4.4%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f78" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f78" data-rollover-span="rollover-f78"></div> <div class="selector selector__bottom" data-detail-div="detail-f78" data-rollover-span="rollover-f78"></div> <div class="selector selector__top" data-detail-div="detail-f78" data-rollover-span="rollover-f78"></div> <span class="bg-tab-summary" style="z-index: -19844"></span> <span class="bg-tab-summary-rollover" id="rollover-f78" style="z-index: -19843"></span> <div class="summary-number" > 79 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">YrSold</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 5 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 5 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f78 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f78"> <div class="container-feature-detail__offset"> <span class="detail_graph-f78- pos-detail-cat-graph" id="detail_graph-f78" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f78" style="top: 384.0px;"> <!-- height: 526.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 54px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 135px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2009</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">338</div> <div class="pair-pos__perc">23%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">309</div> <div class="pair-pos__perc">21%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2007</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">329</div> <div class="pair-pos__perc">23%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">363</div> <div class="pair-pos__perc">25%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2006</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">314</div> <div class="pair-pos__perc">22%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">305</div> <div class="pair-pos__perc">21%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2008</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">304</div> <div class="pair-pos__perc">21%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">318</div> <div class="pair-pos__perc">22%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2010</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">175</div> <div class="pair-pos__perc">12%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">164</div> <div class="pair-pos__perc">11%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 54px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 54px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 135px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 231px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-78"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f78"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f78"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">YrSold<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MiscFeature<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Functional<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleCondition<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON YrSold:</div> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">SaleType</div> <div class="pos-assoc-row__source text-label color-source">0.02</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Functional</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition1</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.01</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">YrSold<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MoSold</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">MiscVal</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">3SsnPorch</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f79" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f79" data-rollover-span="rollover-f79"></div> <div class="selector selector__bottom" data-detail-div="detail-f79" data-rollover-span="rollover-f79"></div> <div class="selector selector__top" data-detail-div="detail-f79" data-rollover-span="rollover-f79"></div> <span class="bg-tab-summary" style="z-index: -19842"></span> <span class="bg-tab-summary-rollover" id="rollover-f79" style="z-index: -19841"></span> <div class="summary-number" > 80 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">GarageYrBlt</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 102 </div> <div class="text-value color-source pos-base-stats__source-perc"> (7%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 103 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (7%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">2,010</div> <div class="pos-summary-numeric-compare text-value color-compare">2,207</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">2,007</div> <div class="pos-summary-numeric-compare text-value color-compare">2,007</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">2,001</div> <div class="pos-summary-numeric-compare text-value color-compare">2,002</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">1,978</div> <div class="pos-summary-numeric-compare text-value color-compare">1,978</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">1,977</div> <div class="pos-summary-numeric-compare text-value color-compare">1,976</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1,959</div> <div class="pos-summary-numeric-compare text-value color-compare">1,958</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">1,924</div> <div class="pos-summary-numeric-compare text-value color-compare">1,923</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1,872</div> <div class="pos-summary-numeric-compare text-value color-compare">1,890</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">138</div> <div class="pos-summary-numeric-compare text-value color-compare">317</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">42.0</div> <div class="pos-summary-numeric-compare text-value color-compare">44.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">26.3</div> <div class="pos-summary-numeric-compare text-value color-compare">27.7</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">692</div> <div class="pos-summary-numeric-compare text-value color-compare">767</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">-0.230</div> <div class="pos-summary-numeric-compare text-value color-compare">2.79</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">-0.694</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.258</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">2.9M</div> <div class="pos-summary-numeric-compare text-value color-compare">2.9M</div> </div> </div> <span class="minigraph-f79 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f79" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f79" data-new_class="detail_graph-f79-0">Auto </button> <button class="button-bin" data-target="detail_graph-f79" data-new_class="detail_graph-f79-5">5 </button> <button class="button-bin" data-target="detail_graph-f79" data-new_class="detail_graph-f79-15">15 </button> <button class="button-bin" data-target="detail_graph-f79" data-new_class="detail_graph-f79-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f79-0 pos-detail-num-graph" id="detail_graph-f79"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f79"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">GarageYrBlt</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-red">-0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-red">-0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.78</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.69</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.68</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.64</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2005</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">65</div> <div class="pos-detail-num-pair-pos__perc">4.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">82</div> <div class="pos-detail-num-pair-pos__perc">5.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2006</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">60</div> <div class="pos-detail-num-pair-pos__perc">4.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">58</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2004</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">54</div> <div class="pos-detail-num-pair-pos__perc">3.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">48</div> <div class="pos-detail-num-pair-pos__perc">3.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2003</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">50</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">42</div> <div class="pos-detail-num-pair-pos__perc">2.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2007</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">50</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">67</div> <div class="pos-detail-num-pair-pos__perc">4.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1977</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">36</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">31</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1998</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">31</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1976</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">29</div> <div class="pos-detail-num-pair-pos__perc">2.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2008</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">29</div> <div class="pos-detail-num-pair-pos__perc">2.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">32</div> <div class="pos-detail-num-pair-pos__perc">2.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2000</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1968</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">22</div> <div class="pos-detail-num-pair-pos__perc">1.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2002</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">26</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1950</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1970</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1872</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1875</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1900</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1906</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1908</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1910</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1911</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1912</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1914</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1915</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1916</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1918</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1919</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1920</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">23</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1921</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2010</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2009</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2008</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">29</div> <div class="pos-detail-num-pair-pos__perc">2.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">32</div> <div class="pos-detail-num-pair-pos__perc">2.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2007</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">50</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">67</div> <div class="pos-detail-num-pair-pos__perc">4.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2006</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">60</div> <div class="pos-detail-num-pair-pos__perc">4.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">58</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2005</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">65</div> <div class="pos-detail-num-pair-pos__perc">4.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">82</div> <div class="pos-detail-num-pair-pos__perc">5.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2004</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">54</div> <div class="pos-detail-num-pair-pos__perc">3.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">48</div> <div class="pos-detail-num-pair-pos__perc">3.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2003</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">50</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">42</div> <div class="pos-detail-num-pair-pos__perc">2.9%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2002</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">26</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2001</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2000</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">30</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">24</div> <div class="pos-detail-num-pair-pos__perc">1.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1998</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">31</div> <div class="pos-detail-num-pair-pos__perc">2.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">27</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1997</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">19</div> <div class="pos-detail-num-pair-pos__perc">1.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1996</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f80" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f80" data-rollover-span="rollover-f80"></div> <div class="selector selector__bottom" data-detail-div="detail-f80" data-rollover-span="rollover-f80"></div> <div class="selector selector__top" data-detail-div="detail-f80" data-rollover-span="rollover-f80"></div> <span class="bg-tab-summary" style="z-index: -19840"></span> <span class="bg-tab-summary-rollover" id="rollover-f80" style="z-index: -19839"></span> <div class="summary-number" > 81 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Spaciousness</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,098 </div> <div class="text-value color-source pos-base-stats__source-perc"> (75%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,104 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (76%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">297</div> <div class="pos-summary-numeric-compare text-value color-compare">249</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">163</div> <div class="pos-summary-numeric-compare text-value color-compare">164</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">133</div> <div class="pos-summary-numeric-compare text-value color-compare">132</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">121</div> <div class="pos-summary-numeric-compare text-value color-compare">120</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">119</div> <div class="pos-summary-numeric-compare text-value color-compare">118</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">104</div> <div class="pos-summary-numeric-compare text-value color-compare">103</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">87</div> <div class="pos-summary-numeric-compare text-value color-compare">88</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">58</div> <div class="pos-summary-numeric-compare text-value color-compare">68</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">239</div> <div class="pos-summary-numeric-compare text-value color-compare">181</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">28.6</div> <div class="pos-summary-numeric-compare text-value color-compare">29.2</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">24.2</div> <div class="pos-summary-numeric-compare text-value color-compare">23.5</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">584</div> <div class="pos-summary-numeric-compare text-value color-compare">550</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">4.73</div> <div class="pos-summary-numeric-compare text-value color-compare">1.99</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.29</div> <div class="pos-summary-numeric-compare text-value color-compare">0.993</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">176k</div> <div class="pos-summary-numeric-compare text-value color-compare">176k</div> </div> </div> <span class="minigraph-f80 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f80" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f80" data-new_class="detail_graph-f80-0">Auto </button> <button class="button-bin" data-target="detail_graph-f80" data-new_class="detail_graph-f80-5">5 </button> <button class="button-bin" data-target="detail_graph-f80" data-new_class="detail_graph-f80-15">15 </button> <button class="button-bin" data-target="detail_graph-f80" data-new_class="detail_graph-f80-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f80-0 pos-detail-num-graph" id="detail_graph-f80"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f80"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Spaciousness</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.68</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">86.4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">104.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">108.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">89.4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">105.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">112.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">90.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">141.33333333333334</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">98.7</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">119.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">99.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">101.33333333333333</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">91.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">57.77777777777778</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">66.8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">67.22222222222223</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">70.36363636363636</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">71.16666666666667</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">72.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">73.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">74.18181818181819</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">74.28571428571429</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">77.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">78.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">78.54545454545455</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">78.66666666666667</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">78.93333333333334</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">80.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">296.94736842105266</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">263.14285714285717</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">254.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">246.10526315789474</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">240.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">236.88888888888889</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">235.57894736842104</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">227.1578947368421</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">214.9</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">205.47058823529412</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">199.125</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">194.28571428571428</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">193.2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">190.89473684210526</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">190.47058823529412</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f81" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f81" data-rollover-span="rollover-f81"></div> <div class="selector selector__bottom" data-detail-div="detail-f81" data-rollover-span="rollover-f81"></div> <div class="selector selector__top" data-detail-div="detail-f81" data-rollover-span="rollover-f81"></div> <span class="bg-tab-summary" style="z-index: -19838"></span> <span class="bg-tab-summary-rollover" id="rollover-f81" style="z-index: -19837"></span> <div class="summary-number" > 82 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">TotalOutSideSF</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 427 </div> <div class="text-value color-source pos-base-stats__source-perc"> (29%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 418 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (29%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 254 </div> <div class="text-value color-source pos-base-stats__source-perc"> (17%) </div> <div class="text-value color-compare pos-base-stats__compare"> 228 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (16%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">1,027</div> <div class="pos-summary-numeric-compare text-value color-compare">1,424</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">472</div> <div class="pos-summary-numeric-compare text-value color-compare">466</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">266</div> <div class="pos-summary-numeric-compare text-value color-compare">268</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">181</div> <div class="pos-summary-numeric-compare text-value color-compare">185</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">164</div> <div class="pos-summary-numeric-compare text-value color-compare">166</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">45</div> <div class="pos-summary-numeric-compare text-value color-compare">51</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">1,027</div> <div class="pos-summary-numeric-compare text-value color-compare">1,424</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">221</div> <div class="pos-summary-numeric-compare text-value color-compare">217</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">157</div> <div class="pos-summary-numeric-compare text-value color-compare">163</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">24,541</div> <div class="pos-summary-numeric-compare text-value color-compare">26,686</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">1.76</div> <div class="pos-summary-numeric-compare text-value color-compare">5.65</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.10</div> <div class="pos-summary-numeric-compare text-value color-compare">1.62</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">265k</div> <div class="pos-summary-numeric-compare text-value color-compare">269k</div> </div> </div> <span class="minigraph-f81 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f81" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f81" data-new_class="detail_graph-f81-0">Auto </button> <button class="button-bin" data-target="detail_graph-f81" data-new_class="detail_graph-f81-5">5 </button> <button class="button-bin" data-target="detail_graph-f81" data-new_class="detail_graph-f81-15">15 </button> <button class="button-bin" data-target="detail_graph-f81" data-new_class="detail_graph-f81-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f81-0 pos-detail-num-graph" id="detail_graph-f81"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f81"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">TotalOutSideSF</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-source">0.74</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ScreenPorch</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PorchTypes</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">254</div> <div class="pos-detail-num-pair-pos__perc">17.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">228</div> <div class="pos-detail-num-pair-pos__perc">15.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">21</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">192.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">168.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">140.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">15</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">40.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">14</div> <div class="pos-detail-num-pair-pos__perc">1.0%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">36.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">240.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">12</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">96.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">8</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">28.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">116.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">45.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">148.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">224.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">254</div> <div class="pos-detail-num-pair-pos__perc">17.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">228</div> <div class="pos-detail-num-pair-pos__perc">15.6%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">18.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">19.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">22.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">24.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">25.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">26.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">27.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">28.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">29.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">30.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">13</div> <div class="pos-detail-num-pair-pos__perc">0.9%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1027.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">929.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">832.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">822.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">804.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">749.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">748.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">739.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">730.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">711.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">702.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">701.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">698.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">678.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">670.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f82" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f82" data-rollover-span="rollover-f82"></div> <div class="selector selector__bottom" data-detail-div="detail-f82" data-rollover-span="rollover-f82"></div> <div class="selector selector__top" data-detail-div="detail-f82" data-rollover-span="rollover-f82"></div> <span class="bg-tab-summary" style="z-index: -19836"></span> <span class="bg-tab-summary-rollover" id="rollover-f82" style="z-index: -19835"></span> <div class="summary-number" > 83 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">MampQual</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 444 </div> <div class="text-value color-source pos-base-stats__source-perc"> (30%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 427 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (29%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 869 </div> <div class="text-value color-source pos-base-stats__source-perc"> (60%) </div> <div class="text-value color-compare pos-base-stats__compare"> 892 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (61%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">1,378</div> <div class="pos-summary-numeric-compare text-value color-compare">1,224</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">328</div> <div class="pos-summary-numeric-compare text-value color-compare">360</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">101</div> <div class="pos-summary-numeric-compare text-value color-compare">101</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">73</div> <div class="pos-summary-numeric-compare text-value color-compare">72</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">1,378</div> <div class="pos-summary-numeric-compare text-value color-compare">1,224</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">101</div> <div class="pos-summary-numeric-compare text-value color-compare">101</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">140</div> <div class="pos-summary-numeric-compare text-value color-compare">139</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">19,739</div> <div class="pos-summary-numeric-compare text-value color-compare">19,407</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">16.6</div> <div class="pos-summary-numeric-compare text-value color-compare">12.9</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">3.39</div> <div class="pos-summary-numeric-compare text-value color-compare">3.11</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">107k</div> <div class="pos-summary-numeric-compare text-value color-compare">105k</div> </div> </div> <span class="minigraph-f82 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f82" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f82" data-new_class="detail_graph-f82-0">Auto </button> <button class="button-bin" data-target="detail_graph-f82" data-new_class="detail_graph-f82-5">5 </button> <button class="button-bin" data-target="detail_graph-f82" data-new_class="detail_graph-f82-15">15 </button> <button class="button-bin" data-target="detail_graph-f82" data-new_class="detail_graph-f82-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f82-0 pos-detail-num-graph" id="detail_graph-f82"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f82"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">MampQual</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.97</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">869</div> <div class="pos-detail-num-pair-pos__perc">59.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">892</div> <div class="pos-detail-num-pair-pos__perc">61.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">168.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">102.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">54.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">57.6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">67.2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">74.19999999999999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">84.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">90.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">32.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">75.6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">44.4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">101.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">869</div> <div class="pos-detail-num-pair-pos__perc">59.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">892</div> <div class="pos-detail-num-pair-pos__perc">61.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.699999999999999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.799999999999999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.2</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.6</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.399999999999999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.799999999999997</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.8</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">18.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">18.9</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">19.200000000000003</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1378.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1170.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1120.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1031.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">922.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">816.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">796.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">783.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">780.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">780.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">774.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">762.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">705.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">694.8000000000001</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">689.4</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f83" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f83" data-rollover-span="rollover-f83"></div> <div class="selector selector__bottom" data-detail-div="detail-f83" data-rollover-span="rollover-f83"></div> <div class="selector selector__top" data-detail-div="detail-f83" data-rollover-span="rollover-f83"></div> <span class="bg-tab-summary" style="z-index: -19834"></span> <span class="bg-tab-summary-rollover" id="rollover-f83" style="z-index: -19833"></span> <div class="summary-number" > 84 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">BT_1Fam</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 788 </div> <div class="text-value color-source pos-base-stats__source-perc"> (54%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 795 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (54%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 240 </div> <div class="text-value color-source pos-base-stats__source-perc"> (16%) </div> <div class="text-value color-compare pos-base-stats__compare"> 254 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (17%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">5,642</div> <div class="pos-summary-numeric-compare text-value color-compare">5,095</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">2,450</div> <div class="pos-summary-numeric-compare text-value color-compare">2,385</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">1,733</div> <div class="pos-summary-numeric-compare text-value color-compare">1,671</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">1,358</div> <div class="pos-summary-numeric-compare text-value color-compare">1,324</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">1,286</div> <div class="pos-summary-numeric-compare text-value color-compare">1,235</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">912</div> <div class="pos-summary-numeric-compare text-value color-compare">910</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">5,642</div> <div class="pos-summary-numeric-compare text-value color-compare">5,095</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">821</div> <div class="pos-summary-numeric-compare text-value color-compare">760</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">757</div> <div class="pos-summary-numeric-compare text-value color-compare">727</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">573k</div> <div class="pos-summary-numeric-compare text-value color-compare">528k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">0.952</div> <div class="pos-summary-numeric-compare text-value color-compare">0.283</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">0.072</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.104</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">1.9M</div> <div class="pos-summary-numeric-compare text-value color-compare">1.8M</div> </div> </div> <span class="minigraph-f83 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f83" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f83" data-new_class="detail_graph-f83-0">Auto </button> <button class="button-bin" data-target="detail_graph-f83" data-new_class="detail_graph-f83-5">5 </button> <button class="button-bin" data-target="detail_graph-f83" data-new_class="detail_graph-f83-15">15 </button> <button class="button-bin" data-target="detail_graph-f83" data-new_class="detail_graph-f83-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f83-0 pos-detail-num-graph" id="detail_graph-f83"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f83"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">BT_1Fam</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_TwnhsE</div> <div class="pos-assoc-row__source text-label color-red">-0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-red">-0.39</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.75</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">240</div> <div class="pos-detail-num-pair-pos__perc">16.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">254</div> <div class="pos-detail-num-pair-pos__perc">17.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">864.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">22</div> <div class="pos-detail-num-pair-pos__perc">1.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">18</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">894.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1040.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">912.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1456.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">7</div> <div class="pos-detail-num-pair-pos__perc">0.5%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">816.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1484.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1710.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">990.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1768.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1344.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1494.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1144.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">240</div> <div class="pos-detail-num-pair-pos__perc">16.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">254</div> <div class="pos-detail-num-pair-pos__perc">17.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">334.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">438.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">480.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">520.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">605.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">616.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">672.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">691.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">693.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">694.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">698.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">708.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">720.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">729.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5642.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4676.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4476.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4316.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3627.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3608.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3493.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3447.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3279.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3238.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3228.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3222.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3194.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3140.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3112.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f84" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f84" data-rollover-span="rollover-f84"></div> <div class="selector selector__bottom" data-detail-div="detail-f84" data-rollover-span="rollover-f84"></div> <div class="selector selector__top" data-detail-div="detail-f84" data-rollover-span="rollover-f84"></div> <span class="bg-tab-summary" style="z-index: -19832"></span> <span class="bg-tab-summary-rollover" id="rollover-f84" style="z-index: -19831"></span> <div class="summary-number" > 85 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">BT_2fmCon</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 31 </div> <div class="text-value color-source pos-base-stats__source-perc"> (2%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 32 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (2%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,429 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,428 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (98%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">3,395</div> <div class="pos-summary-numeric-compare text-value color-compare">2,640</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">33</div> <div class="pos-summary-numeric-compare text-value color-compare">31</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">3,395</div> <div class="pos-summary-numeric-compare text-value color-compare">2,640</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">240</div> <div class="pos-summary-numeric-compare text-value color-compare">223</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">57,580</div> <div class="pos-summary-numeric-compare text-value color-compare">49,566</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">72.1</div> <div class="pos-summary-numeric-compare text-value color-compare">60.7</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">8.09</div> <div class="pos-summary-numeric-compare text-value color-compare">7.60</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">48,405</div> <div class="pos-summary-numeric-compare text-value color-compare">45,737</div> </div> </div> <span class="minigraph-f84 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f84" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f84" data-new_class="detail_graph-f84-0">Auto </button> <button class="button-bin" data-target="detail_graph-f84" data-new_class="detail_graph-f84-5">5 </button> <button class="button-bin" data-target="detail_graph-f84" data-new_class="detail_graph-f84-15">15 </button> <button class="button-bin" data-target="detail_graph-f84" data-new_class="detail_graph-f84-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f84-0 pos-detail-num-graph" id="detail_graph-f84"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f84"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">BT_2fmCon</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-red">-0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-red">-0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-red">-0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">LowQualFinSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-red">-0.09</div> </div> <div class="assoc-row-target row-colored" > <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.08</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.94</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.94</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">CentralAir</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterCond</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,429</div> <div class="pos-detail-num-pair-pos__perc">97.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,428</div> <div class="pos-detail-num-pair-pos__perc">97.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1928.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1387.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1912.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1889.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1622.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1699.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">924.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2337.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1164.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1095.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1039.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">936.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">960.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1092.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,429</div> <div class="pos-detail-num-pair-pos__perc">97.9%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,428</div> <div class="pos-detail-num-pair-pos__perc">97.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">754.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">924.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">936.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">960.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1039.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1056.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1077.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1092.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1095.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1118.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1164.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1294.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1336.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1347.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3395.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2414.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2337.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2291.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2290.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1928.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1912.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1889.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1812.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1786.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1716.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1699.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1622.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1452.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1387.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f85" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f85" data-rollover-span="rollover-f85"></div> <div class="selector selector__bottom" data-detail-div="detail-f85" data-rollover-span="rollover-f85"></div> <div class="selector selector__top" data-detail-div="detail-f85" data-rollover-span="rollover-f85"></div> <span class="bg-tab-summary" style="z-index: -19830"></span> <span class="bg-tab-summary-rollover" id="rollover-f85" style="z-index: -19829"></span> <div class="summary-number" > 86 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">BT_Duplex</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 42 </div> <div class="text-value color-source pos-base-stats__source-perc"> (3%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 51 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (3%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,408 </div> <div class="text-value color-source pos-base-stats__source-perc"> (96%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,402 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (96%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">2,634</div> <div class="pos-summary-numeric-compare text-value color-compare">2,787</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">56</div> <div class="pos-summary-numeric-compare text-value color-compare">68</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">2,634</div> <div class="pos-summary-numeric-compare text-value color-compare">2,787</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">302</div> <div class="pos-summary-numeric-compare text-value color-compare">350</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">91,319</div> <div class="pos-summary-numeric-compare text-value color-compare">123k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">31.7</div> <div class="pos-summary-numeric-compare text-value color-compare">29.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">5.62</div> <div class="pos-summary-numeric-compare text-value color-compare">5.37</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">81,500</div> <div class="pos-summary-numeric-compare text-value color-compare">99,007</div> </div> </div> <span class="minigraph-f85 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f85" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f85" data-new_class="detail_graph-f85-0">Auto </button> <button class="button-bin" data-target="detail_graph-f85" data-new_class="detail_graph-f85-5">5 </button> <button class="button-bin" data-target="detail_graph-f85" data-new_class="detail_graph-f85-15">15 </button> <button class="button-bin" data-target="detail_graph-f85" data-new_class="detail_graph-f85-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f85-0 pos-detail-num-graph" id="detail_graph-f85"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f85"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">BT_Duplex</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-red">-0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-red">-0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-red">-0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-red">-0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-red">-0.11</div> </div> <div class="assoc-row-target " > <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-red">-0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">MiscVal</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-red">-0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.96</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.96</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.77</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SaleCondition</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,408</div> <div class="pos-detail-num-pair-pos__perc">96.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,402</div> <div class="pos-detail-num-pair-pos__perc">96.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1728.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1040.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">816.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1535.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1224.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1440.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1902.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">980.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1958.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1734.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1680.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1664.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">936.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1258.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,408</div> <div class="pos-detail-num-pair-pos__perc">96.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,402</div> <div class="pos-detail-num-pair-pos__perc">96.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">816.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">936.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">943.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">980.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1004.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1040.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1056.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1152.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1190.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1224.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1258.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1296.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1344.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2634.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2620.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2274.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2240.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2020.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2002.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1960.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1959.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1958.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1920.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1902.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1824.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1800.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1792.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f86" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f86" data-rollover-span="rollover-f86"></div> <div class="selector selector__bottom" data-detail-div="detail-f86" data-rollover-span="rollover-f86"></div> <div class="selector selector__top" data-detail-div="detail-f86" data-rollover-span="rollover-f86"></div> <span class="bg-tab-summary" style="z-index: -19828"></span> <span class="bg-tab-summary-rollover" id="rollover-f86" style="z-index: -19827"></span> <div class="summary-number" > 87 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">BT_Twnhs</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 25 </div> <div class="text-value color-source pos-base-stats__source-perc"> (2%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 32 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (2%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,417 </div> <div class="text-value color-source pos-base-stats__source-perc"> (97%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,406 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (96%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">1,739</div> <div class="pos-summary-numeric-compare text-value color-compare">3,005</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">38</div> <div class="pos-summary-numeric-compare text-value color-compare">45</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">1,739</div> <div class="pos-summary-numeric-compare text-value color-compare">3,005</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">222</div> <div class="pos-summary-numeric-compare text-value color-compare">239</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">49,344</div> <div class="pos-summary-numeric-compare text-value color-compare">57,036</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">35.4</div> <div class="pos-summary-numeric-compare text-value color-compare">37.9</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">6.00</div> <div class="pos-summary-numeric-compare text-value color-compare">5.82</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">54,886</div> <div class="pos-summary-numeric-compare text-value color-compare">65,041</div> </div> </div> <span class="minigraph-f86 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f86" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f86" data-new_class="detail_graph-f86-0">Auto </button> <button class="button-bin" data-target="detail_graph-f86" data-new_class="detail_graph-f86-5">5 </button> <button class="button-bin" data-target="detail_graph-f86" data-new_class="detail_graph-f86-15">15 </button> <button class="button-bin" data-target="detail_graph-f86" data-new_class="detail_graph-f86-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f86-0 pos-detail-num-graph" id="detail_graph-f86"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f86"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">BT_Twnhs</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-red">-0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-red">-0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-red">-0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-red">-0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-red">-0.13</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-red">-0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-red">-0.10</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-red">-0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.97</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Functional</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotConfig</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,417</div> <div class="pos-detail-num-pair-pos__perc">97.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,406</div> <div class="pos-detail-num-pair-pos__perc">96.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">987.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">630.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1626.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1218.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1709.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1456.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1441.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1302.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1092.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1314.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">988.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1739.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1556.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,417</div> <div class="pos-detail-num-pair-pos__perc">97.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,406</div> <div class="pos-detail-num-pair-pos__perc">96.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">630.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">987.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">988.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1092.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1216.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1218.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1223.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1252.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1302.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1306.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1314.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1344.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1382.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1416.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1739.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1709.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1626.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1573.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1556.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1554.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1525.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1501.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1456.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1441.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1416.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1382.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1344.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1314.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1306.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f87" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f87" data-rollover-span="rollover-f87"></div> <div class="selector selector__bottom" data-detail-div="detail-f87" data-rollover-span="rollover-f87"></div> <div class="selector selector__top" data-detail-div="detail-f87" data-rollover-span="rollover-f87"></div> <span class="bg-tab-summary" style="z-index: -19826"></span> <span class="bg-tab-summary-rollover" id="rollover-f87" style="z-index: -19825"></span> <div class="summary-number" > 88 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">BT_TwnhsE</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 87 </div> <div class="text-value color-source pos-base-stats__source-perc"> (6%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 84 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (6%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> 1,346 </div> <div class="text-value color-source pos-base-stats__source-perc"> (92%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,346 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (92%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">2,521</div> <div class="pos-summary-numeric-compare text-value color-compare">2,522</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1,224</div> <div class="pos-summary-numeric-compare text-value color-compare">1,280</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">102</div> <div class="pos-summary-numeric-compare text-value color-compare">107</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0</div> <div class="pos-summary-numeric-compare text-value color-compare">0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">2,521</div> <div class="pos-summary-numeric-compare text-value color-compare">2,522</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">362</div> <div class="pos-summary-numeric-compare text-value color-compare">377</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">131k</div> <div class="pos-summary-numeric-compare text-value color-compare">142k</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">10.8</div> <div class="pos-summary-numeric-compare text-value color-compare">10.5</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">3.46</div> <div class="pos-summary-numeric-compare text-value color-compare">3.42</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">150k</div> <div class="pos-summary-numeric-compare text-value color-compare">156k</div> </div> </div> <span class="minigraph-f87 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f87" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f87" data-new_class="detail_graph-f87-0">Auto </button> <button class="button-bin" data-target="detail_graph-f87" data-new_class="detail_graph-f87-5">5 </button> <button class="button-bin" data-target="detail_graph-f87" data-new_class="detail_graph-f87-15">15 </button> <button class="button-bin" data-target="detail_graph-f87" data-new_class="detail_graph-f87-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f87-0 pos-detail-num-graph" id="detail_graph-f87"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f87"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">BT_TwnhsE</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-red">-0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-red">-0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-red">-0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-red">-0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-red">-0.16</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.14</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-red">-0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">PC4</div> <div class="pos-assoc-row__source text-label color-red">-0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.97</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,346</div> <div class="pos-detail-num-pair-pos__perc">92.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,346</div> <div class="pos-detail-num-pair-pos__perc">92.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">848.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1337.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1072.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1224.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1250.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">630.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1092.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1365.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1652.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1368.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1069.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1358.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1504.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1,346</div> <div class="pos-detail-num-pair-pos__perc">92.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1,346</div> <div class="pos-detail-num-pair-pos__perc">92.3%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">630.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">752.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">767.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">848.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">10</div> <div class="pos-detail-num-pair-pos__perc">0.7%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">918.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">923.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">958.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">987.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1060.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1069.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1072.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1088.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1092.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1102.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2521.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2090.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1869.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1767.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1752.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1719.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1709.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1708.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1702.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1684.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1659.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1652.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1646.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1625.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1617.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f88" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f88" data-rollover-span="rollover-f88"></div> <div class="selector selector__bottom" data-detail-div="detail-f88" data-rollover-span="rollover-f88"></div> <div class="selector selector__top" data-detail-div="detail-f88" data-rollover-span="rollover-f88"></div> <span class="bg-tab-summary" style="z-index: -19824"></span> <span class="bg-tab-summary-rollover" id="rollover-f88" style="z-index: -19823"></span> <div class="summary-number" > 89 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">PorchTypes</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 2 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 2 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f88 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f88"> <div class="container-feature-detail__offset"> <span class="detail_graph-f88- pos-detail-cat-graph" id="detail_graph-f88" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f88" style="top: 204.0px;"> <!-- height: 706.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 60px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 141px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">True</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,206</div> <div class="pair-pos__perc">83%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,231</div> <div class="pair-pos__perc">84%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.1 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">False</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">254</div> <div class="pair-pos__perc">17%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">228</div> <div class="pair-pos__perc">16%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 60px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 60px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 141px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 237px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-88"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f88"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f88"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">PorchTypes<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">KitchenAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Foundation<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.05</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BsmtQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtCond<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">BldgType<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Electrical<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">Heating<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.04</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.03</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON PorchTypes:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.12</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">HeatingQC</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.06</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">PorchTypes<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalOutSideSF</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">WoodDeckSF</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OpenPorchSF</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Duplex</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f89" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f89" data-rollover-span="rollover-f89"></div> <div class="selector selector__bottom" data-detail-div="detail-f89" data-rollover-span="rollover-f89"></div> <div class="selector selector__top" data-detail-div="detail-f89" data-rollover-span="rollover-f89"></div> <span class="bg-tab-summary" style="z-index: -19822"></span> <span class="bg-tab-summary-rollover" id="rollover-f89" style="z-index: -19821"></span> <div class="summary-number" > 90 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">MedNhbdArea</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 23 </div> <div class="text-value color-source pos-base-stats__source-perc"> (2%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 25 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (2%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">2,418</div> <div class="pos-summary-numeric-compare text-value color-compare">2,430</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1,850</div> <div class="pos-summary-numeric-compare text-value color-compare">1,822</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">1,603</div> <div class="pos-summary-numeric-compare text-value color-compare">1,552</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">1,500</div> <div class="pos-summary-numeric-compare text-value color-compare">1,368</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">1,452</div> <div class="pos-summary-numeric-compare text-value color-compare">1,429</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1,200</div> <div class="pos-summary-numeric-compare text-value color-compare">1,200</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">1,106</div> <div class="pos-summary-numeric-compare text-value color-compare">1,034</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1,092</div> <div class="pos-summary-numeric-compare text-value color-compare">1,034</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">1,326</div> <div class="pos-summary-numeric-compare text-value color-compare">1,396</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">403</div> <div class="pos-summary-numeric-compare text-value color-compare">352</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">279</div> <div class="pos-summary-numeric-compare text-value color-compare">272</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">78,077</div> <div class="pos-summary-numeric-compare text-value color-compare">74,173</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">1.76</div> <div class="pos-summary-numeric-compare text-value color-compare">1.97</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.06</div> <div class="pos-summary-numeric-compare text-value color-compare">1.06</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">2.1M</div> <div class="pos-summary-numeric-compare text-value color-compare">2.1M</div> </div> </div> <span class="minigraph-f89 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f89" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f89" data-new_class="detail_graph-f89-0">Auto </button> <button class="button-bin" data-target="detail_graph-f89" data-new_class="detail_graph-f89-5">5 </button> <button class="button-bin" data-target="detail_graph-f89" data-new_class="detail_graph-f89-15">15 </button> <button class="button-bin" data-target="detail_graph-f89" data-new_class="detail_graph-f89-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f89-0 pos-detail-num-graph" id="detail_graph-f89"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f89"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">MedNhbdArea</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrArea</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">1.00</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">325</div> <div class="pos-detail-num-pair-pos__perc">22.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">218</div> <div class="pos-detail-num-pair-pos__perc">14.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">167</div> <div class="pos-detail-num-pair-pos__perc">11.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1374.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">113</div> <div class="pos-detail-num-pair-pos__perc">7.7%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1564.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">86</div> <div class="pos-detail-num-pair-pos__perc">5.9%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1593.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">79</div> <div class="pos-detail-num-pair-pos__perc">5.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1850.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">77</div> <div class="pos-detail-num-pair-pos__perc">5.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1106.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">74</div> <div class="pos-detail-num-pair-pos__perc">5.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1664.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">73</div> <div class="pos-detail-num-pair-pos__perc">5.0%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1603.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">59</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1210.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">58</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1717.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">51</div> <div class="pos-detail-num-pair-pos__perc">3.5%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1204.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2418.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">41</div> <div class="pos-detail-num-pair-pos__perc">2.8%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1689.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">38</div> <div class="pos-detail-num-pair-pos__perc">2.6%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1128.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">37</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1092.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">17</div> <div class="pos-detail-num-pair-pos__perc">1.2%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">20</div> <div class="pos-detail-num-pair-pos__perc">1.4%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1106.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">74</div> <div class="pos-detail-num-pair-pos__perc">5.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1128.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">37</div> <div class="pos-detail-num-pair-pos__perc">2.5%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1155.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">16</div> <div class="pos-detail-num-pair-pos__perc">1.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1200.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">325</div> <div class="pos-detail-num-pair-pos__perc">22.3%</div> </div> <div class="pos-detail-num-compare-pair color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">218</div> <div class="pos-detail-num-pair-pos__perc">14.9%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1204.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">49</div> <div class="pos-detail-num-pair-pos__perc">3.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1210.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">58</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1322.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">9</div> <div class="pos-detail-num-pair-pos__perc">0.6%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1374.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">113</div> <div class="pos-detail-num-pair-pos__perc">7.7%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1392.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1437.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">167</div> <div class="pos-detail-num-pair-pos__perc">11.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1564.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">86</div> <div class="pos-detail-num-pair-pos__perc">5.9%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1593.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">79</div> <div class="pos-detail-num-pair-pos__perc">5.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1603.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">59</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2418.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">41</div> <div class="pos-detail-num-pair-pos__perc">2.8%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1850.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">77</div> <div class="pos-detail-num-pair-pos__perc">5.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1742.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1738.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">28</div> <div class="pos-detail-num-pair-pos__perc">1.9%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1717.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">51</div> <div class="pos-detail-num-pair-pos__perc">3.5%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1691.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">25</div> <div class="pos-detail-num-pair-pos__perc">1.7%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1689.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">38</div> <div class="pos-detail-num-pair-pos__perc">2.6%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1664.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">73</div> <div class="pos-detail-num-pair-pos__perc">5.0%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1603.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">59</div> <div class="pos-detail-num-pair-pos__perc">4.0%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1593.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">79</div> <div class="pos-detail-num-pair-pos__perc">5.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1564.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">86</div> <div class="pos-detail-num-pair-pos__perc">5.9%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1500.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">167</div> <div class="pos-detail-num-pair-pos__perc">11.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1437.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">11</div> <div class="pos-detail-num-pair-pos__perc">0.8%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1392.5</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1374.0</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">113</div> <div class="pos-detail-num-pair-pos__perc">7.7%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f90" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f90" data-rollover-span="rollover-f90"></div> <div class="selector selector__bottom" data-detail-div="detail-f90" data-rollover-span="rollover-f90"></div> <div class="selector selector__top" data-detail-div="detail-f90" data-rollover-span="rollover-f90"></div> <span class="bg-tab-summary" style="z-index: -19820"></span> <span class="bg-tab-summary-rollover" id="rollover-f90" style="z-index: -19819"></span> <div class="summary-number" > 91 </div> <div class="pos-tab-image ic-cat"></div> <span class="text-title-tab color-normal ">Cluster</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 10 </div> <div class="text-value color-source pos-base-stats__source-perc"> (<1%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 10 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <span class="minigraph-f90 pos-minigraph-cat"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f90"> <div class="container-feature-detail__offset"> <span class="detail_graph-f90- pos-detail-cat-graph" id="detail_graph-f90" style="top: 75px;"></span> <div class="pos-detail-cat-breakdown " id="detail_breakdown-f90" style="top: 614.0px;"> <!-- height: 296.0px;"> WHY was this needed? Causes issue in vertical layout. --> <!-- HEADER ROW --> <div class="breakdown-row-header-2-lines text-value" style="width:553px"> <div class="text-med-bold" style="position: absolute; left:10px">TOP CATEGORIES</div> <div class="breakdown-hr-2-lines"><hr></div> <div class="pair__header color-source" style="left: 48px"></div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; line-height: 11px; text-align: right;"> SalePrice<br>(avg) </div> <div class="pair__header color-compare" style="position: absolute; left: 129px"> <!--Test--> </div> </div> <!-- ROW CONTENT --> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">1</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">301</div> <div class="pair-pos__perc">21%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">233</div> <div class="pair-pos__perc">16%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.9 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">7</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">256</div> <div class="pair-pos__perc">18%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">264</div> <div class="pair-pos__perc">18%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.6 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">0</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">255</div> <div class="pair-pos__perc">17%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">106</div> <div class="pair-pos__perc">7%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.2 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">8</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">236</div> <div class="pair-pos__perc">16%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 11.8 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">4</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">229</div> <div class="pair-pos__perc">16%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">211</div> <div class="pair-pos__perc">14%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.3 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">5</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">104</div> <div class="pair-pos__perc">7%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">110</div> <div class="pair-pos__perc">8%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.5 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">3</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">56</div> <div class="pair-pos__perc">4%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">221</div> <div class="pair-pos__perc">15%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.7 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">9</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">15</div> <div class="pair-pos__perc">1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">51</div> <div class="pair-pos__perc">3%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.4 </div> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">2</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">250</div> <div class="pair-pos__perc">17%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.6 </div> </div> <div class="breakdown-row text-value row-colored" style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">6</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">4</div> <div class="pair-pos__perc"><1%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">12</div> <div class="pair-pos__perc"><1%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.8 </div> </div> <div class="breakdown-row text-value" style="width:553px"> </div> <div class="breakdown-row text-value " style="width:553px"> <!-- Name --> <div class="text-label color-normal " style="position: absolute; left:10px; width: 48px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap;">ALL</div> <!-- Freq --> <div class="pair__col color-source" style="left: 48px"> <div class="pair-pos__num dim">1,460</div> <div class="pair-pos__perc">100%</div> </div> <div class="pair__col color-compare" style="position: absolute; left: 129px"> <div class="pair-pos__num dim">1,459</div> <div class="pair-pos__perc">100%</div> </div> <!-- Targets --> <div class="pair__header color-source-target" style="position: absolute; left: 225px; text-align: right;"> 12.0 </div> </div> <div id="detail_cat_end-90"></div> </div> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CC-f90"> <!-- no background for target in vertical mode --> <span class="bg-extra-column"></span> <div class="container-detail-assoc " id="cat-assoc-window-f90"> <!-- CAT-CAT --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> CATEGORICAL ASSOCIATIONS<br> (UNCERTAINTY COEFFICIENT, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Cluster<br> PROVIDES INFORMATION ON...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Street<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolQC<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Condition2<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Utilities<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.18</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual<!--SalePrice--></div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <br> <div class="text-large-bold" style="line-height: 104%;">THESE FEATURES<br>GIVE INFORMATION<br> ON Cluster:</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.13</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.11</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.10</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.09</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.08</div> </div> <div class="assoc-row " > <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <div class="assoc-row row-colored" > <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.07</div> </div> <br> <!-- CAT-NUM --> <div class="text-small-bold color-light" style="text-align:right; line-height: 10px"> NUMERICAL ASSOCIATIONS<br> (CORRELATION RATIO, 0 to 1) </div> <div class="text-large-bold" style="line-height: 104%;">Cluster<br> CORRELATION RATIO WITH...</div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.95</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.93</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.93</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.93</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-source">0.90</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f91" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f91" data-rollover-span="rollover-f91"></div> <div class="selector selector__bottom" data-detail-div="detail-f91" data-rollover-span="rollover-f91"></div> <div class="selector selector__top" data-detail-div="detail-f91" data-rollover-span="rollover-f91"></div> <span class="bg-tab-summary" style="z-index: -19818"></span> <span class="bg-tab-summary-rollover" id="rollover-f91" style="z-index: -19817"></span> <div class="summary-number" > 92 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide0</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">21.0</div> <div class="pos-summary-numeric-compare text-value color-compare">15.2</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">3.7</div> <div class="pos-summary-numeric-compare text-value color-compare">5.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">2.8</div> <div class="pos-summary-numeric-compare text-value color-compare">4.3</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">2.5</div> <div class="pos-summary-numeric-compare text-value color-compare">3.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">2.3</div> <div class="pos-summary-numeric-compare text-value color-compare">3.6</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1.4</div> <div class="pos-summary-numeric-compare text-value color-compare">3.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0.5</div> <div class="pos-summary-numeric-compare text-value color-compare">1.3</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0.2</div> <div class="pos-summary-numeric-compare text-value color-compare">0.3</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">20.8</div> <div class="pos-summary-numeric-compare text-value color-compare">14.9</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">1.40</div> <div class="pos-summary-numeric-compare text-value color-compare">1.25</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.35</div> <div class="pos-summary-numeric-compare text-value color-compare">1.17</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">1.82</div> <div class="pos-summary-numeric-compare text-value color-compare">1.36</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">49.6</div> <div class="pos-summary-numeric-compare text-value color-compare">8.20</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">4.48</div> <div class="pos-summary-numeric-compare text-value color-compare">0.405</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">3,351</div> <div class="pos-summary-numeric-compare text-value color-compare">5,263</div> </div> </div> <span class="minigraph-f91 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f91" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f91" data-new_class="detail_graph-f91-0">Auto </button> <button class="button-bin" data-target="detail_graph-f91" data-new_class="detail_graph-f91-5">5 </button> <button class="button-bin" data-target="detail_graph-f91" data-new_class="detail_graph-f91-15">15 </button> <button class="button-bin" data-target="detail_graph-f91" data-new_class="detail_graph-f91-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f91-0 pos-detail-num-graph" id="detail_graph-f91"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f91"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide0</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.84</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofStyle</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.8730692164379708</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.6730144431520517</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.2635569189058975</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.8732600921726594</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.9231676919327089</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.2744072197150267</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.706812973954478</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9860093523867142</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.517272242108263</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8871081791486615</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.7316955358031256</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.8730056512625772</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.782719347479294</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.895584959325539</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.7791759842341213</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.21243271233317115</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.22179077496066496</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.22711326222669515</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.24198160466386706</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2579511648040939</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.27007007101418656</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.27939698687493597</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3003249872586679</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.30211592753296873</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3140079808914012</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.32444437778734736</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.32871251967219806</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.330868734155771</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.33228125556282373</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3341020276759898</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.9643448507224</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">17.637063374670426</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.662036725165638</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.981761450201866</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.99707066224024</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.775999054294468</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.3975071593229</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.545239166342102</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.354766735671264</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.673369675805517</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.541636790848798</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.23417847023867</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.865780360113426</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.842995721562549</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.8391031391704304</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f92" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f92" data-rollover-span="rollover-f92"></div> <div class="selector selector__bottom" data-detail-div="detail-f92" data-rollover-span="rollover-f92"></div> <div class="selector selector__top" data-detail-div="detail-f92" data-rollover-span="rollover-f92"></div> <span class="bg-tab-summary" style="z-index: -19816"></span> <span class="bg-tab-summary-rollover" id="rollover-f92" style="z-index: -19815"></span> <div class="summary-number" > 93 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide1</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">20.9</div> <div class="pos-summary-numeric-compare text-value color-compare">15.5</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">4.0</div> <div class="pos-summary-numeric-compare text-value color-compare">4.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">2.5</div> <div class="pos-summary-numeric-compare text-value color-compare">3.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">2.0</div> <div class="pos-summary-numeric-compare text-value color-compare">2.4</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">1.9</div> <div class="pos-summary-numeric-compare text-value color-compare">2.5</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1.0</div> <div class="pos-summary-numeric-compare text-value color-compare">1.5</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0.4</div> <div class="pos-summary-numeric-compare text-value color-compare">0.5</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0.1</div> <div class="pos-summary-numeric-compare text-value color-compare">0.1</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">20.8</div> <div class="pos-summary-numeric-compare text-value color-compare">15.4</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">1.49</div> <div class="pos-summary-numeric-compare text-value color-compare">1.62</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.44</div> <div class="pos-summary-numeric-compare text-value color-compare">1.24</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">2.09</div> <div class="pos-summary-numeric-compare text-value color-compare">1.53</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">41.8</div> <div class="pos-summary-numeric-compare text-value color-compare">11.9</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">4.34</div> <div class="pos-summary-numeric-compare text-value color-compare">1.55</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">2,884</div> <div class="pos-summary-numeric-compare text-value color-compare">3,511</div> </div> </div> <span class="minigraph-f92 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f92" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f92" data-new_class="detail_graph-f92-0">Auto </button> <button class="button-bin" data-target="detail_graph-f92" data-new_class="detail_graph-f92-5">5 </button> <button class="button-bin" data-target="detail_graph-f92" data-new_class="detail_graph-f92-15">15 </button> <button class="button-bin" data-target="detail_graph-f92" data-new_class="detail_graph-f92-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f92-0 pos-detail-num-graph" id="detail_graph-f92"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f92"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide1</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.88</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.74</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.375231366261923</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.746326959505374</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.5813465308813313</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.3755565070416538</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.158954301619152</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.589219481601419</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.4628857132551993</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.231744302660962</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.516982937318368</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.513783691045187</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.272516014524506</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.3751231003072757</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.2207955826702819</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.4351129039235626</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.2256120680859772</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.11587725629136568</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.13259114274851394</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.15481849592878838</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.16092669873412865</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1702466588648618</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1711947933689884</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.17813864442148775</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.18384503419519246</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19666183156344716</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.20158352665926496</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2047349897072152</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.20478477598039505</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.20490614808465865</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.20693692777125358</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2226522065596919</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.929667364611134</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">17.81373331951316</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.66346455815534</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.21174710105374</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.85188110727135</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.579403219224796</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.932447760346943</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.625808214042236</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.072557493463046</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.168293677475807</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.15511407328621</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.315291367613932</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.258924662588328</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.9748532711024565</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.950058869664401</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f93" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f93" data-rollover-span="rollover-f93"></div> <div class="selector selector__bottom" data-detail-div="detail-f93" data-rollover-span="rollover-f93"></div> <div class="selector selector__top" data-detail-div="detail-f93" data-rollover-span="rollover-f93"></div> <span class="bg-tab-summary" style="z-index: -19814"></span> <span class="bg-tab-summary-rollover" id="rollover-f93" style="z-index: -19813"></span> <div class="summary-number" > 94 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide2</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">17.7</div> <div class="pos-summary-numeric-compare text-value color-compare">17.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">16.5</div> <div class="pos-summary-numeric-compare text-value color-compare">5.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">16.0</div> <div class="pos-summary-numeric-compare text-value color-compare">2.9</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">15.7</div> <div class="pos-summary-numeric-compare text-value color-compare">2.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">15.6</div> <div class="pos-summary-numeric-compare text-value color-compare">2.3</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">15.4</div> <div class="pos-summary-numeric-compare text-value color-compare">1.3</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">14.8</div> <div class="pos-summary-numeric-compare text-value color-compare">0.4</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0.6</div> <div class="pos-summary-numeric-compare text-value color-compare">0.1</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">17.1</div> <div class="pos-summary-numeric-compare text-value color-compare">17.6</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.557</div> <div class="pos-summary-numeric-compare text-value color-compare">1.62</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">0.898</div> <div class="pos-summary-numeric-compare text-value color-compare">1.48</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">0.806</div> <div class="pos-summary-numeric-compare text-value color-compare">2.19</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">123</div> <div class="pos-summary-numeric-compare text-value color-compare">11.2</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">-8.86</div> <div class="pos-summary-numeric-compare text-value color-compare">1.98</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">22,810</div> <div class="pos-summary-numeric-compare text-value color-compare">3,365</div> </div> </div> <span class="minigraph-f93 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f93" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f93" data-new_class="detail_graph-f93-0">Auto </button> <button class="button-bin" data-target="detail_graph-f93" data-new_class="detail_graph-f93-5">5 </button> <button class="button-bin" data-target="detail_graph-f93" data-new_class="detail_graph-f93-15">15 </button> <button class="button-bin" data-target="detail_graph-f93" data-new_class="detail_graph-f93-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f93-0 pos-detail-num-graph" id="detail_graph-f93"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f93"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide2</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-red">-0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-red">-0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-red">-0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-red">-0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-red">-0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-red">-0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.38</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-red">-0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-red">-0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-red">-0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-red">-0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-red">-0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-red">-0.24</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.90</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandContour</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.35390586695443</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.867934291458994</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.191137272286532</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.35478461010714</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.379536040330304</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.32030300035187</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.40259839999313</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.67831217935814</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.240550027751759</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.71295159356719</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.121789050062397</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.353612953125342</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.884583886072896</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.171236214310102</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.748011135860612</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.6126673227224766</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5526211933041547</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.883278846949881</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.370143987893652</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.359325856959451</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.884997208126594</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.098604224568891</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.292287948920814</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.367747699863878</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.738569695945007</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.820389607820303</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.170912354392865</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.577807070567944</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.760307886962192</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.90045746138259</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">17.677649643254842</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">17.017974227978275</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.867934291458994</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.85923600062976</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.849891427645776</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.849734020529016</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.84854006699213</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.84516170202746</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.84448603532274</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.841645531587297</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.81797953420835</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.814475022912983</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.81002981913769</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.80559048094195</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.772298935039988</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f94" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f94" data-rollover-span="rollover-f94"></div> <div class="selector selector__bottom" data-detail-div="detail-f94" data-rollover-span="rollover-f94"></div> <div class="selector selector__top" data-detail-div="detail-f94" data-rollover-span="rollover-f94"></div> <span class="bg-tab-summary" style="z-index: -19812"></span> <span class="bg-tab-summary-rollover" id="rollover-f94" style="z-index: -19811"></span> <div class="summary-number" > 95 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide3</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">20.2</div> <div class="pos-summary-numeric-compare text-value color-compare">18.2</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">5.6</div> <div class="pos-summary-numeric-compare text-value color-compare">4.9</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">4.8</div> <div class="pos-summary-numeric-compare text-value color-compare">3.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">4.2</div> <div class="pos-summary-numeric-compare text-value color-compare">2.2</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">4.0</div> <div class="pos-summary-numeric-compare text-value color-compare">2.5</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">3.2</div> <div class="pos-summary-numeric-compare text-value color-compare">1.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">1.5</div> <div class="pos-summary-numeric-compare text-value color-compare">0.7</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0.3</div> <div class="pos-summary-numeric-compare text-value color-compare">0.2</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">19.9</div> <div class="pos-summary-numeric-compare text-value color-compare">18.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">1.57</div> <div class="pos-summary-numeric-compare text-value color-compare">1.39</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.42</div> <div class="pos-summary-numeric-compare text-value color-compare">1.42</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">2.00</div> <div class="pos-summary-numeric-compare text-value color-compare">2.02</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">18.1</div> <div class="pos-summary-numeric-compare text-value color-compare">14.5</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">1.48</div> <div class="pos-summary-numeric-compare text-value color-compare">2.33</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">5,790</div> <div class="pos-summary-numeric-compare text-value color-compare">3,610</div> </div> </div> <span class="minigraph-f94 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f94" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f94" data-new_class="detail_graph-f94-0">Auto </button> <button class="button-bin" data-target="detail_graph-f94" data-new_class="detail_graph-f94-5">5 </button> <button class="button-bin" data-target="detail_graph-f94" data-new_class="detail_graph-f94-15">15 </button> <button class="button-bin" data-target="detail_graph-f94" data-new_class="detail_graph-f94-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f94-0 pos-detail-num-graph" id="detail_graph-f94"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f94"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide3</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.84</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.64</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-red">-0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-red">-0.51</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-red">-0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-red">-0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-red">-0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-red">-0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.9815807174290985</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.103905809002492</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.807175153912375</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.981753212806955</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.318683548503223</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.821260752593704</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.87817421089221</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.38502880139743</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.844018324094129</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.529046152462585</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.740645324059587</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.981523253911779</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.851061964548842</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.069176618489215</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.839046478665469</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2589219659359102</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2633991862198155</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.29038105875275266</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3360744380353441</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3691917663278097</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3867512803407476</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3873802485295801</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.41094507556100757</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.44032613585685604</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.44111578805641316</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4554728412699184</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4739377914181942</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.519523604624328</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5487296805171082</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5583356871821491</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.17206492029374</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.216340281648957</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.760389284503951</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.303855059235914</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.223389025947512</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.419439927822456</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.395717098567521</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.983449480075538</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.947690510306441</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.719896069146458</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.490647692109376</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.450417703387454</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.428765667594687</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.356677828290863</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.251713528129624</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f95" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f95" data-rollover-span="rollover-f95"></div> <div class="selector selector__bottom" data-detail-div="detail-f95" data-rollover-span="rollover-f95"></div> <div class="selector selector__top" data-detail-div="detail-f95" data-rollover-span="rollover-f95"></div> <span class="bg-tab-summary" style="z-index: -19810"></span> <span class="bg-tab-summary-rollover" id="rollover-f95" style="z-index: -19809"></span> <div class="summary-number" > 96 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide4</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">20.6</div> <div class="pos-summary-numeric-compare text-value color-compare">16.5</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">3.9</div> <div class="pos-summary-numeric-compare text-value color-compare">4.3</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">3.2</div> <div class="pos-summary-numeric-compare text-value color-compare">2.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">2.7</div> <div class="pos-summary-numeric-compare text-value color-compare">2.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">2.5</div> <div class="pos-summary-numeric-compare text-value color-compare">2.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1.5</div> <div class="pos-summary-numeric-compare text-value color-compare">1.2</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0.4</div> <div class="pos-summary-numeric-compare text-value color-compare">0.5</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0.1</div> <div class="pos-summary-numeric-compare text-value color-compare">0.1</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">20.4</div> <div class="pos-summary-numeric-compare text-value color-compare">16.5</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">1.70</div> <div class="pos-summary-numeric-compare text-value color-compare">1.44</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.39</div> <div class="pos-summary-numeric-compare text-value color-compare">1.25</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">1.94</div> <div class="pos-summary-numeric-compare text-value color-compare">1.56</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">35.6</div> <div class="pos-summary-numeric-compare text-value color-compare">16.4</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">3.33</div> <div class="pos-summary-numeric-compare text-value color-compare">2.30</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">3,597</div> <div class="pos-summary-numeric-compare text-value color-compare">3,084</div> </div> </div> <span class="minigraph-f95 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f95" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f95" data-new_class="detail_graph-f95-0">Auto </button> <button class="button-bin" data-target="detail_graph-f95" data-new_class="detail_graph-f95-5">5 </button> <button class="button-bin" data-target="detail_graph-f95" data-new_class="detail_graph-f95-15">15 </button> <button class="button-bin" data-target="detail_graph-f95" data-new_class="detail_graph-f95-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f95-0 pos-detail-num-graph" id="detail_graph-f95"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f95"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide4</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.84</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.77</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.74</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-red">-0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC2</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-red">-0.31</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-red">-0.23</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.91</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.26</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.927395545482562</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.170190985330608</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.919207030808618</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.927591698875002</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.7803609730172107</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.929228208955832</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.8865882214121052</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5142355220890593</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.834813211068377</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.7211570959048244</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.9160578173484829</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.927330219818105</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.799547362232798</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0126288256055576</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.7945884504412057</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.13064317850623464</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1406728925832331</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.14658692830651113</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.15135407269414716</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.16192312546927354</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.16241808904290084</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1628881051838892</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.16820756848196872</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.17423574396409322</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.17478982551005356</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19459938340008628</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.19584024132993225</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.20717183927068186</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.21109999908399965</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.21134742614067753</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.579724061346397</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.292834810752762</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.42470396311775</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.974979733116731</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.484806259268067</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.196557097776443</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.793466214347077</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.434345882806894</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.484503180940094</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.461066404394807</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.252498859304377</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.012082197972033</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.58807553086017</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.546944445824083</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.382159156094771</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f96" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f96" data-rollover-span="rollover-f96"></div> <div class="selector selector__bottom" data-detail-div="detail-f96" data-rollover-span="rollover-f96"></div> <div class="selector selector__top" data-detail-div="detail-f96" data-rollover-span="rollover-f96"></div> <span class="bg-tab-summary" style="z-index: -19808"></span> <span class="bg-tab-summary-rollover" id="rollover-f96" style="z-index: -19807"></span> <div class="summary-number" > 97 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide5</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">20.6</div> <div class="pos-summary-numeric-compare text-value color-compare">13.6</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">4.8</div> <div class="pos-summary-numeric-compare text-value color-compare">5.4</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">4.0</div> <div class="pos-summary-numeric-compare text-value color-compare">4.4</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">3.5</div> <div class="pos-summary-numeric-compare text-value color-compare">3.8</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">3.4</div> <div class="pos-summary-numeric-compare text-value color-compare">3.6</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">2.7</div> <div class="pos-summary-numeric-compare text-value color-compare">2.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">1.2</div> <div class="pos-summary-numeric-compare text-value color-compare">1.2</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0.3</div> <div class="pos-summary-numeric-compare text-value color-compare">0.3</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">20.3</div> <div class="pos-summary-numeric-compare text-value color-compare">13.2</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">1.31</div> <div class="pos-summary-numeric-compare text-value color-compare">1.64</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.30</div> <div class="pos-summary-numeric-compare text-value color-compare">1.27</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">1.69</div> <div class="pos-summary-numeric-compare text-value color-compare">1.62</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">35.8</div> <div class="pos-summary-numeric-compare text-value color-compare">2.79</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">2.97</div> <div class="pos-summary-numeric-compare text-value color-compare">0.086</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">4,928</div> <div class="pos-summary-numeric-compare text-value color-compare">5,181</div> </div> </div> <span class="minigraph-f96 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f96" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f96" data-new_class="detail_graph-f96-0">Auto </button> <button class="button-bin" data-target="detail_graph-f96" data-new_class="detail_graph-f96-5">5 </button> <button class="button-bin" data-target="detail_graph-f96" data-new_class="detail_graph-f96-15">15 </button> <button class="button-bin" data-target="detail_graph-f96" data-new_class="detail_graph-f96-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f96-0 pos-detail-num-graph" id="detail_graph-f96"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f96"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide5</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide9</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-red">-0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-red">-0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC3</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-red">-0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-red">-0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LandSlope</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.625989296890655</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.626076226401134</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.96166017634932</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.626159128347149</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.5325807521542427</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.975928548650719</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.390553082693599</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.9041238617664273</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.9128875662326963</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.797167562513959</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.485992880095262</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.625932724076883</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.518993988930502</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.675318029900719</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.508635298434163</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.32061287951688155</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3264804931368601</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3864188425076401</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.41098105873049023</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4352028974083158</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4946200600691401</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5011712935233416</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5016477825890913</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5230394430352936</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5230658715211527</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5368876863690598</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5441429658148407</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5642172795889132</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5667102284788511</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5698046921633048</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">20.608996732341573</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.972011686681148</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.440021059542714</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.68056237297551</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.741219425129833</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.91524044036887</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.09746943587169</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.6856521929800685</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.447541839378999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.894112947944364</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.640030701058811</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.601951675220792</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.580830996443797</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.571759172088794</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.571043952280463</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f97" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f97" data-rollover-span="rollover-f97"></div> <div class="selector selector__bottom" data-detail-div="detail-f97" data-rollover-span="rollover-f97"></div> <div class="selector selector__top" data-detail-div="detail-f97" data-rollover-span="rollover-f97"></div> <span class="bg-tab-summary" style="z-index: -19806"></span> <span class="bg-tab-summary-rollover" id="rollover-f97" style="z-index: -19805"></span> <div class="summary-number" > 98 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide6</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">19.6</div> <div class="pos-summary-numeric-compare text-value color-compare">13.8</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">12.6</div> <div class="pos-summary-numeric-compare text-value color-compare">8.6</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">11.7</div> <div class="pos-summary-numeric-compare text-value color-compare">7.6</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">10.8</div> <div class="pos-summary-numeric-compare text-value color-compare">7.2</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">10.7</div> <div class="pos-summary-numeric-compare text-value color-compare">7.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">9.9</div> <div class="pos-summary-numeric-compare text-value color-compare">6.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">8.3</div> <div class="pos-summary-numeric-compare text-value color-compare">5.6</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1.0</div> <div class="pos-summary-numeric-compare text-value color-compare">1.5</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">18.6</div> <div class="pos-summary-numeric-compare text-value color-compare">12.4</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">1.77</div> <div class="pos-summary-numeric-compare text-value color-compare">0.985</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.40</div> <div class="pos-summary-numeric-compare text-value color-compare">0.945</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">1.95</div> <div class="pos-summary-numeric-compare text-value color-compare">0.893</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">3.50</div> <div class="pos-summary-numeric-compare text-value color-compare">6.01</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">-0.671</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.844</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">15,631</div> <div class="pos-summary-numeric-compare text-value color-compare">10,389</div> </div> </div> <span class="minigraph-f97 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f97" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f97" data-new_class="detail_graph-f97-0">Auto </button> <button class="button-bin" data-target="detail_graph-f97" data-new_class="detail_graph-f97-5">5 </button> <button class="button-bin" data-target="detail_graph-f97" data-new_class="detail_graph-f97-15">15 </button> <button class="button-bin" data-target="detail_graph-f97" data-new_class="detail_graph-f97-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f97-0 pos-detail-num-graph" id="detail_graph-f97"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f97"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide6</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-red">-0.84</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-red">-0.81</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.77</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.77</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-red">-0.73</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-red">-0.68</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-red">-0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-red">-0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-red">-0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-red">-0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-red">-0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-red">-0.51</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.92</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.50</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.340129565739785</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.887415512498698</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.889904394727413</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.340355437867492</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.727587945038687</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.918562567421475</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.19704071484677</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.129169316745305</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.19239715893128</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.096588072867732</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">10.29043004108942</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.34005428875326</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.174345325809604</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.401442122659864</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.144893157684999</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.0331816828813196</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.551970096060545</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.9710211568524025</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.283771674194397</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.492960544215387</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.80054673883256</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.1969013805692885</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.417344350418354</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.4780695891568225</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.545480352863657</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.659941639450775</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.68119739646494</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.77753812045884</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.806868674554062</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.814396181276046</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">19.607051269687787</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.769408635743043</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.015136530426114</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">14.579652643596074</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.901580847630209</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.64041881241391</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.561041476843902</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.470725554714845</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.386493142547884</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.380563054926705</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.364966793813904</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.322845426371495</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.262090321311856</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.240130816717356</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">13.197722071143792</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f98" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f98" data-rollover-span="rollover-f98"></div> <div class="selector selector__bottom" data-detail-div="detail-f98" data-rollover-span="rollover-f98"></div> <div class="selector selector__top" data-detail-div="detail-f98" data-rollover-span="rollover-f98"></div> <span class="bg-tab-summary" style="z-index: -19804"></span> <span class="bg-tab-summary-rollover" id="rollover-f98" style="z-index: -19803"></span> <div class="summary-number" > 99 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide7</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">21.3</div> <div class="pos-summary-numeric-compare text-value color-compare">16.9</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">4.8</div> <div class="pos-summary-numeric-compare text-value color-compare">3.9</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">3.0</div> <div class="pos-summary-numeric-compare text-value color-compare">2.9</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">2.3</div> <div class="pos-summary-numeric-compare text-value color-compare">2.4</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">2.1</div> <div class="pos-summary-numeric-compare text-value color-compare">2.5</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1.3</div> <div class="pos-summary-numeric-compare text-value color-compare">1.6</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0.4</div> <div class="pos-summary-numeric-compare text-value color-compare">0.6</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0.2</div> <div class="pos-summary-numeric-compare text-value color-compare">0.3</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">21.2</div> <div class="pos-summary-numeric-compare text-value color-compare">16.6</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">1.77</div> <div class="pos-summary-numeric-compare text-value color-compare">1.26</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.64</div> <div class="pos-summary-numeric-compare text-value color-compare">1.18</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">2.68</div> <div class="pos-summary-numeric-compare text-value color-compare">1.39</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">27.2</div> <div class="pos-summary-numeric-compare text-value color-compare">21.0</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">3.36</div> <div class="pos-summary-numeric-compare text-value color-compare">2.29</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">3,394</div> <div class="pos-summary-numeric-compare text-value color-compare">3,460</div> </div> </div> <span class="minigraph-f98 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f98" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f98" data-new_class="detail_graph-f98-0">Auto </button> <button class="button-bin" data-target="detail_graph-f98" data-new_class="detail_graph-f98-5">5 </button> <button class="button-bin" data-target="detail_graph-f98" data-new_class="detail_graph-f98-15">15 </button> <button class="button-bin" data-target="detail_graph-f98" data-new_class="detail_graph-f98-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f98-0 pos-detail-num-graph" id="detail_graph-f98"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f98"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide7</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.88</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.84</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.79</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.65</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.64</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.93</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FireplaceQu</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.46518080282113994</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.758908983980759</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7300329163482004</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.4658563594160026</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.4014820291875356</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7303423650318184</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.828407799444749</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.6040987016241512</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.269573453480814</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9356994714949927</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.4612254872282575</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.46495578775589835</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3438670951358546</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3437236337260255</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.41390337299296776</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.17756042669692007</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1944947619067465</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.21298038460980684</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.24179912987314406</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2750578847785845</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.28628379460491216</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2878771023760492</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.305407625282319</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.30861358145197804</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3101867136664905</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3103036334526706</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3104053857310869</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3115778976978579</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3141753406390123</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.31551976029788686</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">21.336656236051425</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">19.097433506468718</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.00744628753561</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.554055291561738</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.757007947209262</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.345349072314697</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.946379881868037</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.680317929661323</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.391315958948528</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.050973247884425</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.942588694224551</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.288344837686932</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.0846678150796345</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.037218976499439</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.872873730338474</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f99" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f99" data-rollover-span="rollover-f99"></div> <div class="selector selector__bottom" data-detail-div="detail-f99" data-rollover-span="rollover-f99"></div> <div class="selector selector__top" data-detail-div="detail-f99" data-rollover-span="rollover-f99"></div> <span class="bg-tab-summary" style="z-index: -19802"></span> <span class="bg-tab-summary-rollover" id="rollover-f99" style="z-index: -19801"></span> <div class="summary-number" style='left:-5px'> 100 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide8</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> 1 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (<1%) </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">21.4</div> <div class="pos-summary-numeric-compare text-value color-compare">19.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">4.5</div> <div class="pos-summary-numeric-compare text-value color-compare">18.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">2.9</div> <div class="pos-summary-numeric-compare text-value color-compare">17.6</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">2.3</div> <div class="pos-summary-numeric-compare text-value color-compare">16.6</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">2.0</div> <div class="pos-summary-numeric-compare text-value color-compare">16.9</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">1.5</div> <div class="pos-summary-numeric-compare text-value color-compare">15.8</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">0.6</div> <div class="pos-summary-numeric-compare text-value color-compare">14.0</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">0.1</div> <div class="pos-summary-numeric-compare text-value color-compare">0.0</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">21.3</div> <div class="pos-summary-numeric-compare text-value color-compare">19.7</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">1.41</div> <div class="pos-summary-numeric-compare text-value color-compare">1.88</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">1.51</div> <div class="pos-summary-numeric-compare text-value color-compare">1.52</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">2.27</div> <div class="pos-summary-numeric-compare text-value color-compare">2.32</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">38.3</div> <div class="pos-summary-numeric-compare text-value color-compare">9.91</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">4.16</div> <div class="pos-summary-numeric-compare text-value color-compare">-1.55</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">3,318</div> <div class="pos-summary-numeric-compare text-value color-compare">24,211</div> </div> </div> <span class="minigraph-f99 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f99" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f99" data-new_class="detail_graph-f99-0">Auto </button> <button class="button-bin" data-target="detail_graph-f99" data-new_class="detail_graph-f99-5">5 </button> <button class="button-bin" data-target="detail_graph-f99" data-new_class="detail_graph-f99-15">15 </button> <button class="button-bin" data-target="detail_graph-f99" data-new_class="detail_graph-f99-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f99-0 pos-detail-num-graph" id="detail_graph-f99"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f99"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide8</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.84</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.81</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.79</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide2</div> <div class="pos-assoc-row__source text-label color-red">-0.63</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotFrontage</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row-target row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.93</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8501650989567258</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.2981761577767763</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.3306705628346283</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8503105772816364</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.1970669191090126</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.327995297832207</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8229491069679553</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.718939372814637</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.142417205117747</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.6958577090277744</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.8931672797367636</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.850116701296441</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8310052575741322</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.839940617628181</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8492564901140243</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.14116512113018978</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.142019668768852</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.20310723423976082</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.20443255462148827</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.23287160913144236</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2617749073203254</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.26235072651103797</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.28296505706841724</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2895182665379242</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.29085893989106903</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2943604999112623</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2974048278463712</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.30275328974076804</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.304520952901173</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.30844017990344696</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">21.428965658657415</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">18.84604860388079</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">16.074599467074297</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.45916810156155</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.478558715459526</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.120957795513762</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">9.412311936224052</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.930016937437696</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.74511468737251</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.412221898017908</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.163080412975457</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.090996735679645</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.063218740465656</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.020314230804953</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.766251446420544</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f100" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f100" data-rollover-span="rollover-f100"></div> <div class="selector selector__bottom" data-detail-div="detail-f100" data-rollover-span="rollover-f100"></div> <div class="selector selector__top" data-detail-div="detail-f100" data-rollover-span="rollover-f100"></div> <span class="bg-tab-summary" style="z-index: -19800"></span> <span class="bg-tab-summary-rollover" id="rollover-f100" style="z-index: -19799"></span> <div class="summary-number" style='left:-5px'> 101 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">Centroide9</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,430 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,446 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (>99%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">17.3</div> <div class="pos-summary-numeric-compare text-value color-compare">18.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">5.3</div> <div class="pos-summary-numeric-compare text-value color-compare">5.2</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">4.5</div> <div class="pos-summary-numeric-compare text-value color-compare">3.4</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">4.2</div> <div class="pos-summary-numeric-compare text-value color-compare">2.9</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">4.2</div> <div class="pos-summary-numeric-compare text-value color-compare">2.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">3.8</div> <div class="pos-summary-numeric-compare text-value color-compare">2.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">3.3</div> <div class="pos-summary-numeric-compare text-value color-compare">1.7</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">1.2</div> <div class="pos-summary-numeric-compare text-value color-compare">0.2</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source text-value color-source">16.1</div> <div class="pos-summary-numeric-compare text-value color-compare">17.8</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source text-value color-source">0.760</div> <div class="pos-summary-numeric-compare text-value color-compare">1.27</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source text-value color-source">0.842</div> <div class="pos-summary-numeric-compare text-value color-compare">1.24</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source text-value color-source">0.709</div> <div class="pos-summary-numeric-compare text-value color-compare">1.55</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source text-value color-source">71.5</div> <div class="pos-summary-numeric-compare text-value color-compare">18.9</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source text-value color-source">5.32</div> <div class="pos-summary-numeric-compare text-value color-compare">2.66</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source text-value color-source">6,145</div> <div class="pos-summary-numeric-compare text-value color-compare">4,280</div> </div> </div> <span class="minigraph-f100 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f100" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f100" data-new_class="detail_graph-f100-0">Auto </button> <button class="button-bin" data-target="detail_graph-f100" data-new_class="detail_graph-f100-5">5 </button> <button class="button-bin" data-target="detail_graph-f100" data-new_class="detail_graph-f100-15">15 </button> <button class="button-bin" data-target="detail_graph-f100" data-new_class="detail_graph-f100-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f100-0 pos-detail-num-graph" id="detail_graph-f100"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f100"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">Centroide9</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.77</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.55</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.40</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotArea</div> <div class="pos-assoc-row__source text-label color-source">0.23</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-red">-0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-red">-0.20</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PC1</div> <div class="pos-assoc-row__source text-label color-red">-0.20</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.19</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_Twnhs</div> <div class="pos-assoc-row__source text-label color-source">0.17</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.82</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">RoofMatl</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PoolArea</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">LotShape</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Fireplaces</div> <div class="pos-assoc-row__source text-label color-source">0.25</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFullBath</div> <div class="pos-assoc-row__source text-label color-source">0.22</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.969813328813774</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.721604206985689</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.159765483085597</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.970541669081317</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.669937616344986</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.25466385216146</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.9017523558024205</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.258751035721142</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.666807967416583</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.341333831497485</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.243959797317161</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.969570561359894</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.5631675666553955</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.86969055295787</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.455018860750976</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.1796411790725163</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.342879260173683</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.358260170974973</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.3815934516686443</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.453920715417085</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5951497194713566</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.6448742687720987</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.775609745063041</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9875100165411383</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.12297288603583</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.198080855565915</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.224521199058419</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.2709607562495786</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.314906864655776</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.3924256783916933</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">17.26720286320359</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">15.591983612304187</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.049777872713928</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">11.53200748741088</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">8.442022461366463</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.804436959199457</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.380435343642574</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.2386714524239535</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">7.178569216213722</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.594256658858747</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.116154443192745</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.061884622639809</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.884595779656707</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.761575188157965</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.721604206985689</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">5</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f101" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f101" data-rollover-span="rollover-f101"></div> <div class="selector selector__bottom" data-detail-div="detail-f101" data-rollover-span="rollover-f101"></div> <div class="selector selector__top" data-detail-div="detail-f101" data-rollover-span="rollover-f101"></div> <span class="bg-tab-summary" style="z-index: -19798"></span> <span class="bg-tab-summary-rollover" id="rollover-f101" style="z-index: -19797"></span> <div class="summary-number" style='left:-5px'> 102 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">PC1</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,432 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,424 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (98%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">12.7</div> <div class="pos-summary-numeric-compare text-value color-compare">10.5</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">2.4</div> <div class="pos-summary-numeric-compare text-value color-compare">2.7</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0.9</div> <div class="pos-summary-numeric-compare text-value color-compare">1.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">-0.0</div> <div class="pos-summary-numeric-compare text-value color-compare">0.0</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">-0.1</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">-1.1</div> <div class="pos-summary-numeric-compare text-value color-compare">-1.1</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">-2.2</div> <div class="pos-summary-numeric-compare text-value color-compare">-2.2</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">-3.9</div> <div class="pos-summary-numeric-compare text-value color-compare">-3.9</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source-wide text-value color-source">16.6</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">14.4</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source-wide text-value color-source">2.00</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">2.07</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source-wide text-value color-source">1.50</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">1.52</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source-wide text-value color-source">2.25</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">2.32</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source-wide text-value color-source">3.51</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">1.29</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.744</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.566</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source-wide text-value color-source">-1.78e-15</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">-4.26e-14</div> </div> </div> <span class="minigraph-f101 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f101" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f101" data-new_class="detail_graph-f101-0">Auto </button> <button class="button-bin" data-target="detail_graph-f101" data-new_class="detail_graph-f101-5">5 </button> <button class="button-bin" data-target="detail_graph-f101" data-new_class="detail_graph-f101-15">15 </button> <button class="button-bin" data-target="detail_graph-f101" data-new_class="detail_graph-f101-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f101-0 pos-detail-num-graph" id="detail_graph-f101"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f101"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">PC1</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-source">0.85</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.83</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.81</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.79</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.73</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.70</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-source">0.67</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MampQual</div> <div class="pos-assoc-row__source text-label color-source">0.53</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.51</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.81</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.80</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallQual</div> <div class="pos-assoc-row__source text-label color-source">0.76</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.72</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.68</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">ExterQual</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">KitchenQual</div> <div class="pos-assoc-row__source text-label color-source">0.62</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.61</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MasVnrType</div> <div class="pos-assoc-row__source text-label color-source">0.49</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.4950761591556566</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.5099479642809197</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.31506559118416366</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.2221401226179408</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.4897958032522727</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.6708028482482622</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.801080859559321</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.1998012414333874</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.7442795390086812</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.5084704968919023</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.3699150541474612</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.538214107142428</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.6423258854730813</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.7005464584987884</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.30843879916291755</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.9123601440691846</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.740896519162747</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.4747678502538606</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.4260675155777283</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.4240752111106723</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.4010243995295597</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.3823659119997385</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.330051767207092</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.251411305712048</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.225489241671728</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.165994467570216</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.1651689382881947</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.093963132746814</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.0927277260942283</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-3.089325638558596</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">12.702007133060265</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">6.8956525872953085</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.483460200137251</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.41749619366692</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.585084712666116</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.556505362988122</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.358371819508424</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.284874383121572</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.191644725455528</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.18396121556978</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.175543534251751</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.139188462295327</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.124981863614184</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.942952042265128</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.929679222904035</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f102" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f102" data-rollover-span="rollover-f102"></div> <div class="selector selector__bottom" data-detail-div="detail-f102" data-rollover-span="rollover-f102"></div> <div class="selector selector__top" data-detail-div="detail-f102" data-rollover-span="rollover-f102"></div> <span class="bg-tab-summary" style="z-index: -19796"></span> <span class="bg-tab-summary-rollover" id="rollover-f102" style="z-index: -19795"></span> <div class="summary-number" style='left:-5px'> 103 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">PC2</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,431 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,425 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (98%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">5.32</div> <div class="pos-summary-numeric-compare text-value color-compare">4.28</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1.59</div> <div class="pos-summary-numeric-compare text-value color-compare">1.57</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0.46</div> <div class="pos-summary-numeric-compare text-value color-compare">0.50</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">0.00</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">-0.20</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.17</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">-0.62</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.62</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">-1.13</div> <div class="pos-summary-numeric-compare text-value color-compare">-1.05</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">-1.68</div> <div class="pos-summary-numeric-compare text-value color-compare">-1.69</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source-wide text-value color-source">6.99</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">5.96</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source-wide text-value color-source">1.08</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">1.12</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.898</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.843</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.807</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.710</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source-wide text-value color-source">2.94</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">1.42</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source-wide text-value color-source">1.30</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">1.01</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source-wide text-value color-source">4.75e-14</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">5.68e-14</div> </div> </div> <span class="minigraph-f102 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f102" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f102" data-new_class="detail_graph-f102-0">Auto </button> <button class="button-bin" data-target="detail_graph-f102" data-new_class="detail_graph-f102-5">5 </button> <button class="button-bin" data-target="detail_graph-f102" data-new_class="detail_graph-f102-15">15 </button> <button class="button-bin" data-target="detail_graph-f102" data-new_class="detail_graph-f102-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f102-0 pos-detail-num-graph" id="detail_graph-f102"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f102"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">PC2</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-red">-0.66</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-source">0.59</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-source">0.54</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageYrBlt</div> <div class="pos-assoc-row__source text-label color-red">-0.52</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BT_1Fam</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-red">-0.41</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Spaciousness</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">EnclosedPorch</div> <div class="pos-assoc-row__source text-label color-source">0.32</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-source">0.31</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-red">-0.27</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-red">-0.27</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.71</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.66</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.56</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.48</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior1st</div> <div class="pos-assoc-row__source text-label color-source">0.47</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Exterior2nd</div> <div class="pos-assoc-row__source text-label color-source">0.46</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">OverallCond</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BldgType</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">PavedDrive</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSZoning</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.6769103248671398</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.6525178539046455</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.5337302804634745</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.7122987867509076</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.5460484246600378</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.1362637385179881</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.1097401628426642</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.0864392550628224</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.5742029706038833</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.0376543131378333</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.9611689992977147</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.7888670104289078</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.7400820685039184</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.0101265103587873</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.9272603688389428</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.6769103248671398</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.6525178539046455</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.647628132292288</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.5337302804634745</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.455250425932059</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.4455614290370564</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.4236206449210211</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.3470620987772903</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.3432229089575696</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.3427224600313141</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.3311706107852503</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.3243835633403525</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.3229872691556555</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.3217108728504845</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.3188304379950748</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.315613132824578</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.693069542211211</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.459891598475795</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">4.02660000988705</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5594190991866475</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5450132511285424</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.5206739276442063</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.4062703372059433</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.365586781353088</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.2823506470442867</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.21891546297969</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.1792843026942843</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.123799930328225</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.096252699909304</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0494550677633407</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f103" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f103" data-rollover-span="rollover-f103"></div> <div class="selector selector__bottom" data-detail-div="detail-f103" data-rollover-span="rollover-f103"></div> <div class="selector selector__top" data-detail-div="detail-f103" data-rollover-span="rollover-f103"></div> <span class="bg-tab-summary" style="z-index: -19794"></span> <span class="bg-tab-summary-rollover" id="rollover-f103" style="z-index: -19793"></span> <div class="summary-number" style='left:-5px'> 104 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">PC3</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,431 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,424 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (98%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">5.07</div> <div class="pos-summary-numeric-compare text-value color-compare">4.52</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1.00</div> <div class="pos-summary-numeric-compare text-value color-compare">1.02</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0.51</div> <div class="pos-summary-numeric-compare text-value color-compare">0.50</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">0.07</div> <div class="pos-summary-numeric-compare text-value color-compare">0.12</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.00</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">-0.51</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.51</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">-1.19</div> <div class="pos-summary-numeric-compare text-value color-compare">-1.22</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">-2.82</div> <div class="pos-summary-numeric-compare text-value color-compare">-3.40</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source-wide text-value color-source">7.88</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">7.92</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source-wide text-value color-source">1.02</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">1.01</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.723</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.735</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.523</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.540</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source-wide text-value color-source">2.21</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">1.44</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source-wide text-value color-source">-0.084</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">-0.340</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source-wide text-value color-source">2.49e-14</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">5.33e-15</div> </div> </div> <span class="minigraph-f103 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f103" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f103" data-new_class="detail_graph-f103-0">Auto </button> <button class="button-bin" data-target="detail_graph-f103" data-new_class="detail_graph-f103-5">5 </button> <button class="button-bin" data-target="detail_graph-f103" data-new_class="detail_graph-f103-15">15 </button> <button class="button-bin" data-target="detail_graph-f103" data-new_class="detail_graph-f103-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f103-0 pos-detail-num-graph" id="detail_graph-f103"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f103"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">PC3</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotalBsmtSF</div> <div class="pos-assoc-row__source text-label color-source">0.60</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.57</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.44</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">1stFlrSF</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-red">-0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide3</div> <div class="pos-assoc-row__source text-label color-red">-0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-red">-0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide8</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinSF1</div> <div class="pos-assoc-row__source text-label color-source">0.29</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtUnfSF</div> <div class="pos-assoc-row__source text-label color-source">0.24</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-red">-0.24</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-red">-0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-red">-0.21</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.63</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.58</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.57</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType1</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.39</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtExposure</div> <div class="pos-assoc-row__source text-label color-source">0.38</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.37</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtFinType2</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtCond</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.28</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.002544190477293746</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.00040230653575418587</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.9291346929788697</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.7123018217369459</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.1672516453182043</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.360196580157613</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.15862876974827367</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.7185252799223244</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.3174969628060248</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.7244182739484203</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.1503484880897021</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.33854638557988986</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.332653391553794</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.037753657506279965</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.5680567941527135</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.815430415545222</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.779214910911122</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.754403298721654</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.6410609069822724</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.547654800153556</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.4550056281084407</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.3792618614438275</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.282149062855598</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.026890575755542</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.001289703205031</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.9569822427691053</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.8949609795122841</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.873136262372842</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.817387854415133</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.8097558625976367</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">5.066329272061151</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.0156328266235755</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.8693876546439347</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.809882705093405</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.3065888940069508</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.2434156638881655</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0274021517842455</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8456056770264386</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7807827427393839</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7075036093492384</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.6779976724748054</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.630460184963086</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5588945183151341</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.5415928994071444</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.4792058671065913</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> <div class="pos-feature-summary" style="top: 0.0px"> <div class="container-feature-summary" id="summary-f104" style="top: 0px"> <div class="selector selector__body" data-detail-div="detail-f104" data-rollover-span="rollover-f104"></div> <div class="selector selector__bottom" data-detail-div="detail-f104" data-rollover-span="rollover-f104"></div> <div class="selector selector__top" data-detail-div="detail-f104" data-rollover-span="rollover-f104"></div> <span class="bg-tab-summary" style="z-index: -19792"></span> <span class="bg-tab-summary-rollover" id="rollover-f104" style="z-index: -19791"></span> <div class="summary-number" style='left:-5px'> 105 </div> <div class="pos-tab-image ic-numeric"></div> <span class="text-title-tab color-normal">PC4</span> <div class="pos-base-stats"> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">VALUES:</div> <div class="text-value color-source pos-base-stats__source"> 1,460 </div> <div class="text-value color-source pos-base-stats__source-perc"> (100%) </div> <div class="text-value color-compare pos-base-stats__compare"> 1,459 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (100%) </div> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">MISSING:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc" > </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc" > </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">DISTINCT:</div> <div class="text-distinct color-source pos-base-stats__source"> 1,432 </div> <div class="text-value color-source pos-base-stats__source-perc"> (98%) </div> <div class="text-distinct color-compare pos-base-stats__compare"> 1,424 </div> <div class="text-value color-compare pos-base-stats__compare-perc"> (98%) </div> </div> <div class="base-stats-row"> </div> <div class="base-stats-row"> <div class="text-label color-normal pos-base-stats__label ">ZEROES:</div> <div class="text-value color-source pos-base-stats__source"> --- </div> <div class="text-value color-source pos-base-stats__source-perc"> </div> <div class="text-value color-compare pos-base-stats__compare"> --- </div> <div class="text-value color-compare pos-base-stats__compare-perc"> </div> </div> </div> <div class="pos-summary-numeric-group1"> <div class="row-numeric-summary row-separator-bottom "> <div class="text-label" style="position:absolute">MAX</div> <div class="pos-summary-numeric-source text-value color-source">3.63</div> <div class="pos-summary-numeric-compare text-value color-compare">4.27</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">95%</div> <div class="pos-summary-numeric-source text-value color-source">1.13</div> <div class="pos-summary-numeric-compare text-value color-compare">1.13</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q3</div> <div class="pos-summary-numeric-source text-value color-source">0.39</div> <div class="pos-summary-numeric-compare text-value color-compare">0.38</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">AVG</div> <div class="pos-summary-numeric-source text-value color-source">-0.00</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.00</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">MEDIAN</div> <div class="pos-summary-numeric-source text-value color-source">-0.04</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.04</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">Q1</div> <div class="pos-summary-numeric-source text-value color-source">-0.41</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.41</div> </div> <div class="row-numeric-summary "> <div class="text-label" style="position:absolute">5%</div> <div class="pos-summary-numeric-source text-value color-source">-0.96</div> <div class="pos-summary-numeric-compare text-value color-compare">-0.97</div> </div> <div class="row-numeric-summary row-separator-top "> <div class="text-label" style="position:absolute">MIN</div> <div class="pos-summary-numeric-source text-value color-source">-2.43</div> <div class="pos-summary-numeric-compare text-value color-compare">-2.89</div> </div> </div> <div class="pos-summary-numeric-group2"> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">RANGE</div> <div class="pos-summary-numeric-source-wide text-value color-source">6.06</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">7.15</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">IQR</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.802</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.781</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">STD</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.647</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.657</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">VAR</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.418</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.432</div> </div> <div class="row-numeric-summary"> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">KURT.</div> <div class="pos-summary-numeric-source-wide text-value color-source">1.40</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">2.25</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SKEW</div> <div class="pos-summary-numeric-source-wide text-value color-source">0.420</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">0.454</div> </div> <div class="row-numeric-summary"> <div class="text-label" style="position:absolute">SUM</div> <div class="pos-summary-numeric-source-wide text-value color-source">8.88e-15</div> <div class="pos-summary-numeric-compare-wide text-value color-compare">2.31e-14</div> </div> </div> <span class="minigraph-f104 pos-minigraph-numeric"></span> </div> <!-- This DETAIL WINDOW (VERTICAL ONLY) --> <div class="isHidden container-feature-detail-vertical" style="top: 157px" id="detail-f104" > <div class="container-feature-detail__offset"> <!-- BUTTONS --> <div class="pos-detail-num-buttons"> <button class="button-bin" data-target="detail_graph-f104" data-new_class="detail_graph-f104-0">Auto </button> <button class="button-bin" data-target="detail_graph-f104" data-new_class="detail_graph-f104-5">5 </button> <button class="button-bin" data-target="detail_graph-f104" data-new_class="detail_graph-f104-15">15 </button> <button class="button-bin" data-target="detail_graph-f104" data-new_class="detail_graph-f104-30">30 </button> </div> <!-- GRAPH --> <span class="detail_graph-f104-0 pos-detail-num-graph" id="detail_graph-f104"></span> <!-- ASSOCIATIONS --> <div class="pos-detail-cat-assoc-1" id="cat-assoc-CN-f104"> <span class="bg-extra-column" <!-- expand if target in vertical layout --> ></span> <div class="container-detail-assoc"> <div class="text-large-bold">NUMERICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (PEARSON, -1 to 1) </div> <!-- <div class="text-med-bold">PC4</div> <div class="text-large-bold">CORRELATION RATIO WITH...</div> --> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageArea</div> <div class="pos-assoc-row__source text-label color-source">0.45</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">2ndFlrSF</div> <div class="pos-assoc-row__source text-label color-red">-0.44</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GrLivArea</div> <div class="pos-assoc-row__source text-label color-red">-0.33</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearBuilt</div> <div class="pos-assoc-row__source text-label color-red">-0.32</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">TotRmsAbvGrd</div> <div class="pos-assoc-row__source text-label color-red">-0.29</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide5</div> <div class="pos-assoc-row__source text-label color-source">0.27</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide1</div> <div class="pos-assoc-row__source text-label color-red">-0.26</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide7</div> <div class="pos-assoc-row__source text-label color-red">-0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide4</div> <div class="pos-assoc-row__source text-label color-red">-0.22</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">YearRemodAdd</div> <div class="pos-assoc-row__source text-label color-red">-0.22</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide0</div> <div class="pos-assoc-row__source text-label color-source">0.21</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MedNhbdArea</div> <div class="pos-assoc-row__source text-label color-red">-0.20</div> </div> <div class="assoc-row-target " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">SalePrice</div> <div class="pos-assoc-row__source text-label color-red">-0.16</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Centroide6</div> <div class="pos-assoc-row__source text-label color-source">0.15</div> </div> <br> <div class="text-large-bold">CATEGORICAL ASSOCIATIONS</div> <div class="text-small-bold color-light" style="line-height: 10px"> (CORRELATION RATIO, 0 to 1) </div> <hr> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageType</div> <div class="pos-assoc-row__source text-label color-source">0.52</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">MSSubClass</div> <div class="pos-assoc-row__source text-label color-source">0.51</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Neighborhood</div> <div class="pos-assoc-row__source text-label color-source">0.43</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HouseStyle</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageFinish</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Cluster</div> <div class="pos-assoc-row__source text-label color-source">0.42</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCars</div> <div class="pos-assoc-row__source text-label color-source">0.36</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">HalfBath</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">FullBath</div> <div class="pos-assoc-row__source text-label color-source">0.35</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BsmtQual</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageCond</div> <div class="pos-assoc-row__source text-label color-source">0.34</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">GarageQual</div> <div class="pos-assoc-row__source text-label color-source">0.33</div> </div> <div class="assoc-row " style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">BedroomAbvGr</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> <div class="assoc-row row-colored" style="font-weight: bold;"> <div class="pos-assoc-row__label text-label">Foundation</div> <div class="pos-assoc-row__source text-label color-source">0.30</div> </div> </div> </div> <!-- FREQUENT --> <div class="pos-detail-num-most"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">MOST FREQUENT VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.14163546252836806</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">6</div> <div class="pos-detail-num-pair-pos__perc">0.4%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.12516162787537188</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">4</div> <div class="pos-detail-num-pair-pos__perc">0.3%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.0552621998252074</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.728956345706495</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">3</div> <div class="pos-detail-num-pair-pos__perc">0.2%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.3535550480638125</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.3949777037409462</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.1201873143840509</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">0.3570739979797499</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.3013957619925154</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.833098763635981</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.1414642616357893</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.8001510943299887</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.862878442702552</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.362030034434954</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-0.3906979233560002</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">2</div> <div class="pos-detail-num-pair-pos__perc">0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MINIMUM --> <div class="pos-detail-num-min"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold"> SMALLEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.425650275690478</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-2.2511546923892736</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.9335312674731946</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.8897046242981064</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.8654221296606388</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.7084479003289859</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.7041685523632604</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.6888818308549107</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.634637422995455</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.5729204976476545</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.516182321332191</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.5125620608373258</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.461069717529718</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.4277491540181473</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">-1.424075107149549</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> <!-- MAXIMUM --> <div class="pos-detail-num-max"> <span class="bg-extra-column"></span> <div class="container-detail-assoc"> <div class="text-large-bold">LARGEST VALUES</div> <hr> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">3.631488041368707</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.975630601717187</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.571204648336911</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.563859658815543</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.1858858137436177</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.0320969311046375</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">2.019612358201361</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9426820569854466</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9234575063348431</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.9007352857458322</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.8756372038464337</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7536630553916268</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7448359578801194</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row row-colored"> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7107744493822623</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> <div class="assoc-row "> <div class="pos-num-detail-row__label text-label pos-detail-num-label">1.7044932196272369</div> <div class="pos-detail-num-source-pair color-source text-value"> <div class="pos-detail-num-pair-pos__num dim">1</div> <div class="pos-detail-num-pair-pos__perc"><0.1%</div> </div> <div class="pos-detail-num-compare-pair dim color-compare text-value"> <div class="pos-detail-num-pair-pos__num dim">0</div> <div class="pos-detail-num-pair-pos__perc">0.0%</div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <!-- ALL DETAIL WINDOWS (WIDESCREEN ONLY) --> </div> </body> </html>